The AI4EU Web Café provides the users with possibilities to participate virtually in live sessions with experts on specific AI domain or areas of interests. The user finds below the list of upcoming  and past Web Cafés related to AI which she or he can attend and interact with.

The recordings of the past AI4EU Cafes you can find on gotostage (only if the Speaker has agreed to publish it): 

https://www.gotostage.com/channel/ai4eucafe

and on youtube: 

https://www.youtube.com/channel/UC0TvS1wLb1Qja9k-dle0cdQ

These Web Cafés are moderated and organized by one of the AI4EU Consortium partner, Carmen Mac Williams (Grassroots Arts). For questions, comments and suggestions of new speakers and topics please contact the Web Café Manager Carmen Mac Williams: carmen@grassroots-arts.eu

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AI4EU WEBCAFE – INFORMATION LEGAL NOTICE

https://drive.google.com/file/d/13DugkyUQ8dqNVhqsjZdLQJVu5lw4Wfzc/view?usp=sharing

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The upcoming AI4EU Web Café Session:

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I am delighted to present to you in the AI4EU Café on Sep 16th, 2020 at 3 pm

Wouter Denayer (CTO IBM Belgium) with his talk on "the future of AI"

Please register here: https://attendee.gotowebinar.com/register/1487807864604437262

abstract:  if you wonder what is next in the evolution towards general AI then this session is for you. We have seen some painful failures of artificial intelligence pointing to a lack of 'common sense'. Are neural networks really the solution we seek or is a new path needed? Find out what IBM Research is cooking in terms of hardware and software in the never ending quest towards General AI.
 
bio: Wouter is a technology optimist. He is on a mission to strip away both hype and fear surrounding Artificial Intelligence, so that its true potential for society and business can be realised. With a degree in linguistics & literature to balance his inner geek, he architects IT solutions that actually deliver their promised value. As CTO for IBM Belgium, he feels privileged every day to work with a diverse and global team of wonderful colleagues.
 

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Here you find the recordings of the past AI4EU Web Café Sessions:

All recordings you find under: https://www.gotostage.com/channel/ai4eucafe and on youtube: https://www.youtube.com/channel/UC0TvS1wLb1Qja9k-dle0cdQ

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I was delighted to present to you in the AI4EU Café on July 16th at 3 pm

Gonzalo Izaguirre. (Data Scientist for Banking sector at BOSONIT) 
 and
Miguel García. (Director of Innovation at BOSONIT, Spain

with their talk on:
How AI can help you deal with the admin burden of your company

Description
Our AI team is currently working in a solution for automatic document recognition and validation which is currently being used by a major bank in Spain but that will be packaged for a SME solution. The solution as such counts with a number of OCR, image recognition algorithms which are a major breakout in how documents and fill-in papers are currently handled by all sorts of organisations. We will present a use case called “How AI is helping companies to deal with massive admin-workloads or alike?” We will talk about this use case, mention state-of-the-art technologies involved and also mention actual impact that a project like this can have from a business perspective.
CVs:
Mr Gonzalo Izaguirre. Data Scientist for Banking sector at BOSONIT. BSc in Physics at University of Zaragoza and currently studying a MSc in Artificial Intelligence at UNED. He has an experience of around 3 years in IT innovative projects, working with banking and insurance leading companies. Most of them oriented to help clients with digital transformation. Having worked for Big4s during 2 years, for the last year and a half he has been working at Bosonit as a Data Scientist, involved in the maintenance and improvement of a cognitive platform that processes and extracts information from the documents needed for mortgage granting, automating the workflow.
LinkedIn: https://www.linkedin.com/in/gizaguirre/

Mr Miguel García. Director of Innovation at Bosonit. BEng Industrial Organisation and BSci Computing at University of Deusto. He has an experience of over 10 years in R&D projects through a number of H2020 and FP7 projects. He has coordinated four EU projects (FIWARE Finodex, IRS).

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On July 15th the AI4EU Cafe presented:

Rob van Kranenburg (Founder of Council_IoT and #iotday)

with his talk on:

Disposable Identities are Elemental(s) in IoT

Description of his talk:

We agree that we cannot go back, into an analogue world of no digital connectivity. We agree we cannot go forward with our current notions of identity and decision- making systems. We realize that the political power issue is not identity, but taxes. Identity in the hands of non-state actors is the end of the business model of the state. The issue is thus extremely explosive and vital as it touches the heart of society and its workings. As citizens we have a choice. We never had more agency as non-formal but potentially systemic actors. We can be the spider in the web. This implies that all end connections of the web have a clear view on our full personalities. Or we can build our desired connected world, not on the endpoints but on the intentionally combined (if ‘you’ consent) separate connections with each and every endpoint (any service).

CV:

Rob van Kranenburg (1964) is the Founder of Council_IoT and #iotday He wrote The Internet of Things. A critique of ambient technology and the all-seeing network of RFID, Network Notebooks 02, Institute of Network Cultures. He works as Ecosystem Manager for the EU projects Tagitsmart and Next Generation Internet.

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 Our AI4EU Café session on June 24th:

Speaker: Martin Welß

(Senior AI Solution Architect for Fraunhofer IAIS in Germany)

with his talk on:

Composing AI Pipelines with AI4EU Experiments

Description of his talk: In his talk Martin will show how to onboard AI tools as re-usable building blocks that then can be used to easily compose AI pipelines in the AI4EU Experiments visual editor. He will also explain how to package a tool for onboarding and how to work on pipelines in teams.

CV: Martin works as Senior AI Solution Architect for Fraunhofer IAIS in Germany. He has more than 25 years expierence in developing Java Enterprise Applications and DevOps on Linux in different roles like developer, architect or Scrum Master. For Fraunhofer he works now in the AI4EU project mainly on AI4EU Experiments and the publication process.

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Next I would like to invite you to our special AI4EU Café on

on Tuesday, June 23rd at 3 pm

Title: COVID-19 AND CONTACT TRACING APPS

Please register here:
https://attendee.gotowebinar.com/register/7884589493590730253

This time the Café session will be a new multi-presenter format with exciting Speakers from the current European ICT research projects AI4EU (www.ai4eu.eu) and Helios (https://helios-h2020.eu//) as well as Guest Speakers.

Please join our special event with an audience survey on this hot topic. At the end of the Café session you may share with us your opinion in an anonymous survey, what you think about contact tracing apps in respect to trust and privacy.

I am delighted to present to you these following Speakers at this next Café session:

Teresa Scantamburlo from European Centre for Living Technologies

with her talk on:

The AI4EU Observatory for the covid-19 crisis

Description of her talk: In this brief presentation, I will introduce how the AI4EU Observatory on Society and AI is contributing to the critical analysis of tech solutions to the covid-19 crisis. In particular, I will sketch out the research process and the collaborative efforts resulted in a working paper available on arxiv

Short bio: Teresa Scantamburlo is a post-doctoral fellow at the European Centre for Living Technology (ECLT), Ca'Foscari University (Venice, Italy). Before that she was appointed as a research associate at the University of Bristol. Her main research interests include the ethical assessment of AI applications and the interaction between people and AI systems.

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Atia Cortes

from Barcelona Supercomputing Center

with her talk on

Covid-19: technical solutions and the response from society

Description of her talk: In this brief presentation, I will describe the structure of our working paper published on arxiv.  In addition, I will introduce the main research questions that we wanted to answer in this work:

  • Which are the different technical solutions that are being developed by public and private institutions?
  • What are the ethical and legal boundaries to be aligned with European regulations and the concept of Trustworthiness?
  • How is the society responding to such initiatives?

 

Short bio: Atia Cortés is a computer scientist engineer with a MsC and a PhD in Artificial Intelligence. She is a post-doctoral fellow at the Barcelona Supercomputing Center. Before that, she was an assistant professor and a researcher at the Universitat Politècnica de Catalunya, where she was involved in several EU funded projects related to AI solutions for healthcare.

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Pierre Dewitte
from Katholieke Universiteit Leuven

and

Daphné Van Der Eycken

from Katholieke Universiteit Leuven

Title: The implications of digital contact tracing solutions in light of EU data protection law

 

Description: You will hear about the general principle governing the processing of personal data and how they influence the design and functioning of a privacy-preserving approach towards contact tracing'.

 

Pierre’s short CV: Pierre Dewitte (1993, Brussels) obtained his Bachelor and Master degree of Laws with a specialization in Corporate and Intellectual Property law from the Université Catholique de Louvain in 2016. As part of his Master program, he spent six month in the University of Helsinki where he strengthened his knowledge in European law. In 2017, he completed the advanced Master of Intellectual Property and ICT law at the KU Leuven with a special focus on privacy, data protection and electronic communications law.

Pierre joined the KU Leuven Centre for IT & IP in October 2017 where he conducts interdisciplinary research on privacy engineering, smart cities and algorithmic transparency. Among other initiatives, his main research track seeks to bridge the gap between software engineering practices and data protection regulations by creating a common conceptual framework for both disciplines and providing decision and trade-off support for technical and organizational mitigation strategies in the software development life-cycle.

 

Daphne’s short CV: Daphné Van der Eycken holds a Master in Laws from Ghent University, with a particular focus on IP, IT and European Economic Law (2019, magna cum laude). She is currently working as an academic researcher at KUL CiTiP and pursuing an advanced LL.M. degree from Liège University, with a particular focus on EU Competition and IP Law.

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Ville Ollikainen

 from VTT Technical Research Centre of Finland

with his talk on:

Tracing encounters instead of tracing people

Description: In order to prevent new outbreaks, it is essential to trace potential carriers of the virus. For this purpose, mobile technologies provide the most prominent solution, since mobile devices are typically present, where viruses are transmitted in human-human encounters. This presentation unveils an approach that keeps users persistently unidentified. Consequently, there is no kind of a registration (no mobile number or other persistent identifier), that could introduce privacy issues. Instead of having focus on tracing people, the approach has a focus on tracing individual encounters.

 

CV: Mr. Ville Ollikainen received his M.Sc. degree in Technical Physics in 1989 from Helsinki University of Technology with an academic minor and 2.5-year employment in the laboratory of Industrial Psychology. He worked previously at Technical R&D of MTV Finland with the main responsibility for developing broadcast automation, regional advertising systems and interactive teletext services. Mr. Ollikainen has been working at VTT Technical Research Centre of Finland as a senior scientist focusing on media integration, the field of his doctorate thesis planned for the near future. In this role, he has since 1999 contiguously participated in projects related to new media technologies, excluding a period of entrepreneurship: he was one of the main inventors behind Envault Corporation Oy, a data security company he was establishing in 2007. His current activities include privacy preserving recommendation systems, privacy-by-design targeted advertising and social networking services, most recently coordinating a European Union's Horizon 2020 funded project HELIOS (grant #825585), developing a novel peer-to-peer platform for privacy-enabled social media. Closely related to the topics of privacy, Mr. Ollikainen works today in Applied Cryptography research team at VTT.

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Barbara Guidi
from University of Pisa
with her talk on:

The decentralization of Social Media

Description: Social Media like Facebook, Twitter, Instagram, etc., are used extensively for the purpose of communication, and they represent platforms where people share private information every day. During the first phase of COVID-19, people constricted to a forced quarantine, used them to communicate and to know information about the world. They gave us a simple way to be part of a big small world affected by the virus.

However, it is well-known the main problem of Social Media concerning privacy and fake news. For this reason, people are thinking of a new concept of Social Media which takes into account the decentralization of Social Services.

Decentralization is today one of the most important concepts, not only for Social Media but also for our health. The COVID tracing apps are decentralized, only to suggest an application. What is the meaning of decentralization, and what is the future of Social Media? Have the current decentralized Social Media a big impact on the web? What are the main available approaches?

CV: Barbara Guidi is currently an Assistant Professor at the Department of Computer Science of the University of Pisa. She received her B.Sc. and M.Sc. in Computer Science from the University of Pisa, Italy, in 2007 and 2011, respectively. She received her Ph.D. degree in Computer Science from the University of Pisa, in 2015. In 2014, during her Ph.D., she was a visitor at the Heinrich Heine University of Dusseldorf. She was a Co-Chair for the conference EAI GoodTechs 2017, and Co-Chair of several workshops.

She has been involved in the TPC of several international conferences and workshops, and has been a reviewer for relevant scientific journals. She received three Best Paper Awards: at the International Conference DCNET 2013, at the workshop LSDVE 2017, and at LSDVE 2018. She is part of the UNIPI Team in the H2020 HELIOS project. Her current research interests include distributed systems, P2P networks, complex networks, Social Network Analysis, Decentralized Online Social Networks, dynamic community detection, and the Blockchain technology.

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Kevin Koidl
from Trinity College Dublin
with his talk on:

Proximity and trust in hyperlocal social networks

 

Description: I will discuss the impact of virus on society from a digital perspective focusing on how it has changed our way of communicating. As example I will present the HELIOSPHERE concept that implements a hybrid approach to communication by using state of the art AI and camera technology

 

Short CV: Kevin Koidl is a Research Fellow at Trinity College Dublin. His research interests are Social Technologies, Machine Learning and Natural Language Processing.

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Symeon (Akis) Papadopoulos
 
from Centre for Research and Technology Hellas (CERTH)
with his talk on:

The relation between COVID-19
disinformation and contact tracing

 

Abstract: One of the key features of the COVID-19 pandemic is the proliferation of online disinformation at an unprecedented volume and speed. Coupled with the rapid developments in COVID-19 science and medicine and the constant update of our knowledge with new facts, the current infodemic has created a fertile ground where scientific authority is challenged and trust on experts and governments erodes. In this short talk, I will argue that this situation could greatly affect in a negative way the impact of contact tracing apps, which, to a great extent, rely on the public's trust and wide adoption, in order to be effective. This calls for special attention on the way contact tracing technologies should be communicated and discussed online.

Short CV: Dr. Symeon (Akis) Papadopoulos is a Senior Researcher at the Information Technologies Institute (ITI) of the Centre for Research and Technology Hellas (CERTH). Symeon has been involved as a Principal Investigator or key member of the CERTH team in a number of pioneering FP7 and H2020 projects, including SocialSensor, REVEAL, InVID, WeVerify and HELIOS. He has co-authored more than 150 peer-reviewed publications, co-edited two books, guest edited two Special Issues and co-organized several workshops and a summer school. Additionally, he is among the founders of a spin-off technology company (Infalia). During the recent years, he has been actively working in the fields of Web and social media mining and information retrieval, and more specifically on the challenge of online disinformation with a focus on the development of tools that help journalists and citizens to verify online media content.

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Steen Rasmussen from University of Southern Denmark & Santa Fe Institute

with his talk on:

Dark numbers in the COVID-19 pandemic, testing and manual versus automated contact tracing 

 

Abstract: Due to insufficient testing capabilities early on in the COVID19 pandemic there is not yet consensus on which fraction of our populations were infected without knowing it although antibody blood tests are now helping us understand. There is not either consensus on the relative population sizes of the asymptomatic and symptomatic infected and which role each of them has in the spread of the pandemic. We provide estimates for the relative symptomatic versus asymptomatic populations in Denmark as well as their relative infectiousness. Our estimates are based on mathematical models and simulations that in turn are based on the most reliable data we have: occupation numbers for hospital and intensive care units as well as death toll. Based on our results we discuss the needed testing capabilities as the country opens up and further discuss under which conditions automated contact tracing, using COVID19 contact tracing apps on smartphones, may or may not be helpful.

Short CV: Professor in Physics and Center Director, University of Southern Denmark

External Research Professor, Santa Fe Institute (SFI), New Mexico, USA

Co-Founder and CTO, Transparent Internet, Spain and Denmark

Co-Founder and CEO, BINC Technologies. IVS

Dr. Rasmussen has worked for more than 30 year developing the science and technology underpinning living and intelligent processes at Universities and Laboratories across Europe and the USA and most recently also in companies. He has received many rewards for his work, starting in 1988 with P. Gorm-Petersens Mindelegat in the presence of Her Majesty the Queen, Margrethe II of Denmark, and most recently in 2018 with a Lifetime Achievement Award from the International Society for Artificial Life (ISAL). Since 2003 he has led international research initiatives across the US, EU and Denmark, and he has won more than $39M in competitive basic research grants to his home institutions and international research consortia. He is an author of 126 peer-reviewed scientific journal papers; he has written and edited 15 scientific books, proceedings and special journal issues; given 200+ invited talks, 140+ media interviews and he has made 30+ consulting & internal reports. His Erdös number is 2.

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On Wednesday , June 17th at 3 pm

Anna Franziska Michel

(CEO & Founder YOONA TECHNOLOGY)

with her talk on:

Fashion industry can not long resist new technologies any longer.
Will the fashion industry survive without AI?

Description:

Yooneeque has made digitalisation its motto. An artificial intelligence called YOONA is the fashion designer here. This time again during the Berlin Fashion Week the latest outputs of the software were presented.

CV:

 April 2015 - März 2019: Master of Arts in Fashion Design at University of Applied Science Berlin, awarded as Best Graduate with „yooneeque“

September 2012- May 2013 : Studying Fashion Design at Centro Superior de Diseño de Moda de Madrid (UPM), Spain

October 2010- March 2014: Bachelor of Arts in Fashion Design at University of Applied Science Berlin, with her final project awarded as Best Graduate and with the „New Blood Berlin Award“

September 2004- May 2006: Studying Fine Arts at Facultad de Bellas Artes de Universidad de Barcelona, Spain

January 2001- June 2001: Fine Arts at Victorian College of the Arts Melbourne, Australia

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Our AI4EU Café is on June 10th, 2020 at 3 pm

Christopher Morton (CEO of ELEM)

with his talk on:

ELEM - The Virtual Humans Factory

Description of his talk

Harnessing the power of supercomputer and patient modelling to deliver unparallelled medical insights and predict treatment outcomes for patients.

Short bio: Specialising in emerging technology ventures and markets, Chris worked across mechanical industries (aero, auto, energy) before turning to health tech. With ELEM, Chris and his Co-Founder have taken up the challenge to deliver the most powerful and safe environment for medical trials by simulating human physiology on supercomputers. Prior to ELEM, Chris held executive roles at Atos and Sogeti HighTech (CapGemini), set up Altair France, founded and led Samtech UK until its acquisition by LMS, now Siemens. Chris has an international background, read Aeronautical Engineering at Imperial College and Business Studies at Hult IBS. He enjoys sports, finance, and politics and took a special interest in Grow Movement and mental health.

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On Wednesday May 27th at 3 pm, I am delighted to announce to you:

 

Steen Rasmussen from University of Southern Denmark & Santa Fe Institute

with his talk on:

Title: The growing mismatch between our social structures and our new technologies.

Some conclusions from our workshops and working groups at the Lorentz Center and the Santa Fe Institute, 2015-2020.

 

What is Steen’s talk about:

The 21st century has thus far been characterized by a growing gap between physical and social technologies. Our physical technologies — automation, data collection, AI, and biotechnology — are accelerating as our social technologies — governments, market regulations, education, healthcare, and other social institutions — struggle to keep pace.

Physical technologies are tools for transforming matter, energy or information in pursuit of our goals while social technologies are tools for organizing people in pursuit of our goals. Under this definition, our social institutions, economy, and laws are technologies that, like physical technologies, can be studied and improved (Beinhocker, 2007). 

Several times throughout history, situations have emerged when our physical technology has outpaced our social technology. The industrial revolution is one recent example of such change, when new technologies harnessed new energy sources, created mass production capabilities as well as developed new means of communication, shifting the dynamics of labor and capital inputs and creating population upheaval, economic inequality, and social unrest. In response, new policies, laws, and systems of administration were created to help manage the impact of these new technologies, which all together have changed what it means to be human. 

Based on data starting about year 1200 till today I will give a historical perspective of the coevolution of our physical and social technologies and what it means for our development of wealth. One of the main conclusions of our study is that our definition of wealth likely will change in the foreseeable future (Sibani & Rasmussen, 2020). A more true measure of wealth is access to solutions for human problems and not as now the sum of the value of products and services at the market (Beinhocker, 2017). 

Then I’ll give a few examples from our studies regarding possible solutions to mitigate the current mismatch between our physical and social technologies:

(i) Cyberspace: by introducing democratic governance of our converging critical infrastructures (action at state level); by implementing local data storage (action at individual level). (ii) Businesses: by implementing ethical business models; by sharing part of the gains from automation to provide better access to solutions to human problems (action at company level supported by local/national government). (iii) Climate: by development of carbon neutral regions (action in a private public partnership). (iv) Narratives: by updating our big stories about how the world works and what is possible (action mainly by artists).

Short CV:

Co-Founder and CTO, Transparent Internet, Spain and Denmark

Co-Founder and CTO, BINC Technologies. LLC, New York, USA

Professor in Physics and Center Director, University of Southern Denmark

External Research Professor, Santa Fe Institute (SFI), New Mexico, USA

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I am delighted to announce to you our first legal AI Expert in the Café:

Rubén Cano from Baker McKenzie, Madrid with his talk on:

Title: Legal boundaries and AI: an overview of the ecosystem

On Wednesday, on May 20th, 2020, at 3 pm

What is Ruben’s talk about:

Oftentimes, one of the purposes driving the conception of a legal system is to maintain a balance between innovation and social welfare, in a manner that technological development and economic growth serve societal purposes and needs. In order to achieve this balance, along with guidelines and recommendations, specific rights and limitations are set, which ultimately have an impact on which are the permitted acts and, as a consequence, the ability to carry out certain activities. The aim is to give a general overview of different legal regimes having an impact on the planning, development and deployment of Artificial Intelligence systems. This shall be done both from a theoretical and practical perspective in a way that potential legal risks or constraints may be identified and, eventually, mitigated. Once this has been done, a particular section will be devoted to analyze the main challenges for the Intellectual Property landscape revisiting its purpose, requirements for protection and enforcement.  

Short CV:

Rubén Cano is based in Madrid and works as an Intellectual Property - Information and Communications Technology Associate for Baker McKenzie. He studied Law and Business Administration at the University of Alicante and Panthéon-Sorbonne University and holds an LL.M. in Intellectual Property and Information Technology by the University of Alicante (Magister Lvcentinvs) and an LL.M. in Law of Internet Technology by Bocconi University. Apart from working as a lawyer he has worked as privacy-by-design legal expert for different institutions, is AI Responsible at CyberLaws and participates as a legal expert in different projects related to AI regulation.

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On Wendesday, on May 13th, 2020  at 3 pm

Title: George Boole (1815-1864), the father of computing.

The Speaker is: Crónán Ó Doibhlin (Head of Research Collections, University College Cork, Ireland)

Crónán 's talk is about:

The papers of George Boole (1815-1864), first Professor of Mathematics at Queen’s College Cork (University College Cork), are now housed in the Boole Library, University College, Cork. The inventor of Boolean logic, George Boole laid the foundations in the latter half of the nineteenth century for a system of mathematical expression which formed the basis for modern computing.

The collection consists mainly of personal letters to and from Boole which were collected by his sister Maryann, who had hoped one day to publish a biography of her famous brother. This archive offers us insights into the life of George Boole from the period immediately prior to his arrival in Cork in 1849, until his death in 1864.  Drafts of unpublished lectures dealing with such topics as astronomy, ancient mythology, education and one entitled "Are the Planets Inhabited?" are extant.

Boole’s letters home to his sister after his arrival in Ireland also contain valuable social information on the Cork of the mid-nineteenth century, in the wake of the Irish Famine.The insights Boole’s letters give into the world of nineteenth century academia can be amusing as well as informative

A section of the collection contains material relating to Boole’s wife, Mary Everest, (after whose uncle the world’s highest peak was named), and their five daughters. One daughter, Mary Ellen Hinton spent some years in Japan as a teacher at the close of the century. Her diary, which contains wonderful descriptions of the sights she saw and people she met, is preserved here. Another daughter, Ethel Lilian Voynich, was the author of the novel ‘The Gadfly’ which she wrote after an affair with the renowned secret agent, Sydney Reilly.

The Boole papers of UCC provide valuable information for social historians of the nineteenth century in Ireland, researchers interested in the development of Irish university and academic life, and researchers interested in both the development of Cork City and UCC. They provide a unique insight into the life and mind of one of the most brilliant and respected mathematicians of the nineteenth century.

This talk will give an overview of the collection and also outline plans for a collaborative project between The Royal Society, London, and the University of Lincoln, who both hold complementary Boole collections, to unite their collection virtually on a shared public platform.

CV:

Crónán Ó Doibhlin is the Head of Research Collections, University College Cork, Ireland.  He has been a member of UCC Library’s Senior Management Team since 2005 working closely with the Director of Library Services and the Director of Information Services (University Librarian), and was part of the team that delivered a €27m PRTLI funded redevelopment of UCC Library including the transformation of Special Collections and Archives. Crónán’s core responsibilities are in leading the strategic development, organisation and management of Collections Services (Acquisitions & Cataloguing) including library budgets.  He also supports the Director of Information Services & the Development Office with Alumni and External Relations including fundraising. He is a recent Alumni of the LIBER Emerging Leaders Programme (2017-18), and has also represented UCC Library on a number of national committees.

Crónán was previously Librarian of the Cardinal Ó Fiaich Library & Archive with responsibility for Diocesan Collections.  His primarily interests are in Gaelic Literature and manuscripts, and radical and avant-garde publishing.

His publications include:

“Clár Saothair – Diarmaid Ó Doibhlin” in Súgán an Ducháis aistí  ar ghnéithe de thraidisiún liteartha Chúige Uladh i gcuimhe ar Dhiarmaid Ó Doibhlin (eag). N. Mac Cathmhaoil, M. Nic Cathmhaoil & C. Mac Seáin (Guildhall Press, Derry) 2018.

“The Great Book of Ireland - Leabhar Mór na hÉireann” Art Libraries Journal, Volume 41, Issue 4, October

 

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On Wendesday, on May 6th, 2020  at 3 pm

Title: CANDELA EO Data Mining Tools: a tutorial

The Speaker is: Mihai Datcu (DLR, Germany)

 

Description of the talk:

With the advent of the Copernicus program with open and free Big Data access the Earth Observation (EO) application and service development domain is increasingly adopting Artificial Intelligence technologies. In the frame of the H2020 project Copernicus Access Platform Intermediate Layers Small Scale Demonstrator: CANDELA* are developed efficient data and information retrieval techniques and tools as Data Mining augmented with Machine Learning to create more value and subsequently economic growth and development of European members states. This is a tutorial of the CANDELA Data Mining tools. The presentation gives an insight of Machine Learning principles with focus on Active Learning implementing EO Data Mining functions. The CANDELA Data Mining tools are described and demonstrated for Sentinel 2 observations. The tools operate similarly for Sentinel 1.

_________________________

* www.candela-h2020.eu

 

Biography

Mihai Datcu received the M.S. and Ph.D. degrees in Electronics and Telecommunications from the University Politechnica Bucharest UPB, Romania, in 1978 and 1986. In 1999 he received the title Habilitation à diriger des recherches in Computer Science from University Louis Pasteur, Strasbourg, France. Currently he is Senior Scientist and Data Intelligence and Knowledge Discovery research group leader with the Remote Sensing Technology Institute (IMF) of the German Aerospace Center (DLR), Oberpfaffenhofen, and Professor with the Department of Applied Electronics and Information Engineering, Faculty of Electronics, Telecommunications and Information Technology, UPB. From 1992 to 2002 he had a longer Invited Professor assignment with the Swiss Federal Institute of Technology, ETH Zurich. From 2005 to 2013 he has been Professor holder of the DLR-CNES Chair at ParisTech, Paris Institute of Technology, Telecom Paris. His interests are in Data Science, Machine Learning and Artificial Intelligence, and Computational Imaging for space applications. He is involved in Big Data from Space European, ESA, NASA and national research programs and projects. He is a member of the ESA Big Data from Space Working Group. He received in 2006 the Best Paper Award, IEEE Geoscience and Remote Sensing Society Prize, in 2008 the National Order of Merit with the rank of Knight, for outstanding international research results, awarded by the President of Romania, and in 1987 the Romanian Academy Prize Traian Vuia for the development of SAADI image analysis system and activity in image processing. He is IEEE Fellow. He was awarded the 2017 Chaire d'excellence internationale Blaise Pascal for EO Data Science.

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On Wednesday, on April 29th, at 3:00 PM

Title: Towards robust and privacy-preserving AI

The Speaker is

Dr. Mathieu Sinn, IBM Research - Ireland

The direct link to the recording is on youtube: https://youtu.be/Y34VntIyJFk

Abstract: In this talk I will address recent work towards robust and privacy-preserving AI. Without any doubt, AI has tremendous potential to disrupt existing businesses, create innovation and help solving most complex societal and environmental problems. However, it also has been demonstrated that AI is vulnerable to different sorts of adversarial attacks, which puts at risk its deployment in mission-critical applications. Examples of such attacks are poisoning of training data, e.g. in order to introduce backdoors, or evasion attacks at test time to compromise the integrity of AI models. Another potential problem is the leaking of proprietary or personal information through the process of training AI models. I will show a demonstration of those threats on actual state-of-the-art image and text classifiers. As one of the efforts to address those threats, I will present two open source projects that have been created by my team: The Adversarial Robustness 360 Toolbox (https://github.com/IBM/adversarial-robustness-toolbox) and the Differential Privacy Library (https://github.com/IBM/differential-privacy-library). Finally, I will talk about the H2020 MUSKETEER project which aims at providing robust and privacy-preserving AI via a Federated Machine Learning approach, with real-world demonstrations on use cases from the Manufacturing/Automotive and Healthcare industries.

Short bio: Dr. Mathieu Sinn is a Research Staff Member and Manager of the AI, Security & Privacy group at the IBM Research lab in Dublin, Ireland. He has a Master's in Computer Science and a PhD in Mathematics from the University of Lubeck, Germany. He has worked on a large variety of fundamental and practical aspects of Machine Learning, with a recent focus on robustness of AI against adversarial threats. Mathieu is Data Science Thought Leader certified by The Open Group, regular reviewer for top AI conferences and has served as external PhD committee member on various occasions.
 

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Thursday, on April 22nd, at 3:00 PM

Title: Neural Networks Design and Deployment (N2D2) for embedded AI

The Speaker is

Christian Gamrat (CEA, France)

Abstract:

This presentation will give an overview on the N2D2 development platform and its use in the design of embedded AI systems. The talk will begin with some contextual elements and the rationale behind the development of the tool. In a second part the N2D2 design tool and its major features will be described together with a couple of application examples. In a third part, the embeddable neuromorphic accelerators PNEURO and DNEURO, developed at CEA, will be described together with their natural links with the N2D2 platform. Finally an overview at the future of N2D2 will be given.

 

BIO:

Christian Gamrat is chief scientist and CEA fellow in the fi eld of advanced computing architecture. Graduated from the University of Grenoble and ENSERG in Electrical Engineering and information processing, he began his career at CEA-Grenoble in 1981 on data processing projects for nuclear physics experiments. He got involved in the study of neural networks in 1987 and led the team for the MIND-1024 neurocomputer project in 1989. He joined CEA, Saclay in 1995 where he worked on the development of massively parallel computers for image processing. In 1997 he started an activity on recon figurable computing and later on initiated a research on novel computing paradigms aimed at nano technologies. Christian has coordinated several national and European funded projects and has contributed to more than 60 papers and book chapters.

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Wednesday, on April 21st, at 3:00 PM

Title: How to organize an online hackathon?

The Speaker is

Elena Poughia (Founder of Data Natives, Berlin)

Abstract:

What kind of methods, tools, ideas, strategies businesses can we use to grow? Join Elena Poughia for a live session to know how Data Natives refocuses and expands its activities to suit the needs of its global community of data scientists during physical distancing and global uncertainty. We’ll open the discussion for all participants to share thoughts, questions and experiences on managing the crisis.

Bio:

Elena is a creative and practical purpose-driven professional, with an entrepreneurial mindset and a demonstrated experience of working in art, tech and business in the last decade. She has worked for established galleries and pioneering institutions co-founded an events company and an art publication before founding Data Natives. She is particularly committed to supporting womxn and marginalized communities by helping them become established in tech professions. She is an analytical Thinker, Visionary, Speaker, Ecosystem Builder & Connector, enabling people to lead themselves. She has a multidisciplinary background with studies in Economics, Art History and Modern and Contemporary Art from British Universities.

The Guest Speaker is Sachin Gaur (India)
The title: Open Innovation experiences from India during COVID-19

Short Description: Cyber is a great equalizer. Unlike the offline events where we are constrained by the dimension of space in getting the quality and quantity of expertise to innovate, in cyber we don't. 

Short bio: Sachin Gaur is local coordinator for India EU ICT Standards Collaboration Project. 
He is double masters in mobile security and cryptography from Aalto University, Finland and University of Tartu, Estonia. He has been a keen technology innovator with 11 technology patents granted at USPTO. He has also contributed chapters in three books on Innovation and Healthcare. He received top 10 innovators award in India under IIGP 2013.
He is active in the space of mobile technologies and information security in the ICT and health sector with his ventures. In the past he has worked with organisations like Adobe India, C.E.R.N. Geneva and Aalto University, Finland.

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Wednesday, on April 15th, at 3:00 PM

Title: Linking Natural and Artificial Intelligence on the Web

The Speaker is

Fabien Gandon is a Research Director and Senior Researcher at Inria, France

The link to recording is 

 

https://www.gotostage.com/channel/ai4eucafe and youtube: https://www.youtube.com/channel/UC0TvS1wLb1Qja9k-dle0cdQ

 

Abstract: Initially, the Web was essentially perceived as a huge distributed library of linked pages, a worldwide documentary space for humans. In the mid-90s, with wikis and forums, the Web was re-opened in read-write mode and this paved the way to numerous new social media applications. The Web is now a space where three billions of users interact with billions of pages and numerous software. In parallel, extensions of the Web were developed and deployed to make it more and more machine friendly supporting the publication and consumption by software agents of worldwide linked data published on a semantic Web. As a result, the Web became a collaborative space for natural and artificial intelligence raising the problem of supporting these worldwide interactions. In particular, these hybrid communities require reconciling the formal semantics of computer science (e.g. logics, ontologies, typing systems, etc.) on which the Web architecture is built, with the soft semantics of people (e.g. posts, tags, status, etc.) on which the Web content is built. This talk will present some of the challenges and progresses in building this evolution of a Web toward a universal space to link many different kinds of intelligence.

 

Bio: Fabien Gandon is a Research Director and Senior Researcher at Inria, France. Fabien’s PhD in 2002 pioneered the joint use of distributed artificial intelligence (AI) and the Semantic Web to manage a variety of data sources and users above a Web architecture. Then, as a research project leader at Carnegie Mellon University (Pittsburgh, PA, USA), he proposed AI methods to enforce privacy preferences in querying and reasoning about personal data. In 2004, having been recruited as a researcher at Inria, he began to study models and algorithms to integrate social media and knowledge-based AI systems on the Web while keeping humans in the loop. In 2012 Fabien became the representative of Inria at W3C and founded Wimmics, a joint research team working on bridging social and formal semantics on the Web with AI methods. In 2017 he established and became the Director of the Joint Research Laboratory between Inria the Qwant search engine. The same year he also became responsible for the research convention between the Ministry of Culture and Inria with a special interest for cultural data and applications. In 2018 Fabien became Vice Head of Science for the research center of Inria Sophia Antipolis – Méditerranée. Over the years and since 2002, Fabien also never stopped teaching Semantic Web and Linked data, and he has authored several Massive Open Online Courses (MOOCs) on the topic.

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Thursday, on April 16th, 2020 at 3 pm

The CIIRC RP95-3D Protective Half-Mask - The Fast Track From Scientific Idea to The Real Production as The CIIRC’s Contribution in The Fight Against The Coronavirus Pandemic.

The Speakers are:

Vít Docˇkal is head of the Project Management Office (PMO) at at CIIRC

And

Pavel Burget, Head of Testbed for Industry 4.0 at CIIRC

and

the Guest Speaker:  Barbara Kieslinger (careables.org), with her presentation:  “Careables for COVID-19”

The recording you find here: https://www.gotostage.com/channel/ai4eucafe and youtube: https://www.youtube.com/channel/UC0TvS1wLb1Qja9k-dle0cdQ

Description of Presentation:

CIIRC CTU is entering the fight against COVID-19. At the RICAIP Centre of Excellence supported by EU resources, CIIRC CTU is developing a brand new prototype of safety half-mask under the name “CIIRC RP95”.

The goal is to make a prototype that can be produced anywhere in the world on the principles of distributed production. Distributed production allows to compensate the local lack of production capacities or resources.

CIIRC CTU researchers developed and certified the prototype of the advanced respirator “CIIRC RP95-3D” in just one week.

The CIIRC RP95-3D is a personal protective equipment – half-mask – with a P3 replacegeable external filter which has been certified as a kit according to EN 140:1999 norm. It meets the same or higher degree of protection as a FFP3 class respirator.

The mask can be reused thanks to proven sterilization and disinfection procedures. Sterilization of the half-mask is possible in a steam sterilizer (autoclave). The integrity of the mask after sterilization (in the National Reference Laboratory of the EAA) was successfully confirmed by subsequent testing at the Occupational Safety Research Institute.

Disinfection of the mask is possible by spraying with an alcohol-based disinfectant solution (85% ethanol). This procedure was verified in cooperation with the team of the Czech Society of Cardiology and their colleagues virologists. Please find more info under: https://www.ciirc.cvut.cz/covid-2/

CIIRC is also a visible actor in the AI domain –  CIIRC’s is involved in European AI research after successful evaluation of ICT48 calls.

 

CV:

Dr. Vít Docˇkal (M)    is head of the Project Management Office (PMO) at CIIRC which comprises agenda of the strategic project management responsible for project of e100M+. Since 2013 he had worked as the professional project manager at CIIRC. As the head of PMO he led the project team during the preparation of the very first strategical Project of CIIRC such as EDS Grant for the new CIIRC facility or OP RDE projects (Excellent Research Teams call of the ESIF-Operational Programme Research, Development and Education). Under H2020 Teaming of excellent research institutions and low performing RDI regions programme he led the successful proposal of Research  and  Innovation  Centre  on  Advanced  Industrial  Production  (RICAIP,  e50M).  Vít  Docˇkal  is  the  head of CLAIRE Prague Office, closely involved in CLAIRE’s engagement with industry and in supporting the AI ecosystem in Central and Eastern Europe.

In the years of 2009 – 2013 he had been leading the ICRC Project Management Office at St. Anne’s University Hospital in Brno– large R&D infrastructure funded by e180M from the ESIF and the state funds. He is experienced in R&D Project Management, soft skills and state-aid rules. Moreover, he received master degree at Faculty of Law, Masaryk University and the master degree at Historical Institute – Faculty of Arts, Masaryk University. In 2006 he received two doctoral degrees at Faculty of Social Studies, Masaryk University – one at Department of Political Science, with the thesis on the EU Regional Policy and its actors (Ph.D. degree) and the second in International Relations and European Studies (PhDr. degree).

 

Dr. Pavel Burget (M) finished his PhD at Czech Technical University in Prague in the field of Control systems and robotics. Since then he has been an assistant professor at the department of control engineering at CTU in Prague, FEE. He has lead tens of master students and supervised several PhD students. His research interests are Industrial communication and control systems, Optimization of robotic manufacturing cells and Discrete event systems. He has been a leader of several national research projects focused on applied research. He has established several contracts with industry in the fields of robotics and industrial communications. Since 2016, he has been member of Czech Institute of Informatics, Cybernetics and Robotics, where he has been heading Testbed for Industry 4.0. He has been a researcher in several international research projects, whereas in two of them as a principal investigator.

Since 2012 he has been a member of Profinet IO Working Group, which is a standard-development body of Profibus & Profinet International. He has been editor and co-author of several guidelines managed by this working group, which have been used by automation device and system manufacturers worldwide. Since 2019 he has been an associate editor of IEEE Transactions on Automation Science and Engineering. Since 2019 he has been a member of the executive board of the National Centre for Industry 4.0 and a member of the executive board of RICAIP – Research and Innovation Centre on Advanced Industrial Production.

Wednesday, on April 8th, 2020 at 3 pm:

Title: “Combatting Biased AI using Blockchain technology – Unbiased”

The Speaker is:

Sukesh Kumar Tedla

(CEO and Founder of Unbiased)

This is the link to the recording:

https://attendee.gotowebinar.com/recording/6079637801707177987

Description: 

One of the important things in the AI industry is the growing importance of data, whether it is the mobility or banking or finance or customer-service sector.  Data is essential to make algorithms more efficient and intelligent. There are new methodologies surfacing in the market but the data still remains the essential part when building a consumer-ready algorithm. The quality of an algorithm depends on the data it is trained upon. If your data is biased towards a certain entity, groups, religions, races, and other such socio-economical factors, then the algorithm comes with inherent bias. Though there are many ways bias can impact an algorithm the bias in data is a fundamental issue. This is one of the biggest challenges in the AI industry today.

As the digital connectivity foot-print increases the value for data increases as well. We are moving in the direction of a data-sharing economy where data will be traded in exchange for financial value. Often times people do not know the implications of giving consent on various applications in relation to their data. This is one of the reasons we need better consent management systems and Blockchain technology seems to be the answer. Blockchains offers transparency and establishes trust between different parties, so while sharing data, there is a trust that your data is being used as per your consent.

During this talk, I will present why and how blockchain technology can make a difference and also give a demo of the tool we have built at Unbiased.

Presenter BIO:

Sukesh Kumar Tedla is the CEO and Founder of Unbiased. He is 25 Years old, a young entrepreneur challenging the implications of technology on the societies at large. In his current role as the CEO, he is driving the innovation of building ethical & transparent AI solutions that help fight complex technical & societal challenges like Bias in AI, ML & BigData, Fake News and Mis-Information using blockchain technology. 

About Unbiased

Unbiased is an award-winning Swedish tech startup, building solutions to fight biased AI, fake news & misinformation. Innovations include Unbiased Data Marketplace, Search Engine, and Social Gateway.  Its first offering is its Data Marketplace platform which will help different industries and enterprises working with AI and Machine Learning applications by providing structured training data in a transparent and trustworthy fashion. The team will also offer a wide range of services including real-time data collection, annotation, labeling, and analytics. Through its solutions, Unbiased aims to contribute towards innovation and the betterment of societies.

For more information, please visit https://unbiased.cc

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Wednesday, on April 8th, 2020 at 4:30 pm:

“AI4EU and ICT-49 call”

The Speaker is:

Patrick Gatellier (Thales),

the Coordinator of the AI4EU Project

This is the link to the recording

https://attendee.gotowebinar.com/recording/7157181187161599755

The purpose of the session is providing relevant information of the AI4EU Project for interested organisations who are planning to apply for the Horizon 2020 ICT-49-2020 Call, which aims at consolidating the eco-system by bringing in a larger user community, especially from the non-tech sector, and by reinforcing the service layer of the platform.

There will be time for Q&A, thus participants are encouraged to have the Qs ready. You can always check out what has been asked/answered about the topic on the “Discussions” space on the Platform. You must register to become members on the platform to access all the services and resources available for member users.

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Wednesday, on April 1st, 2020 at 3 pm:

Logic Programming: is it logic or search?

The Speaker was:

Peter Schüller

(Postdoctoral Researcher at TU Wien in Austria)

This is the link to the recording:
https://attendee.gotowebinar.com/recording/6134341803569085195

What was Peter's talk about:

Computer Science is often associated with Algorithms. But there is another side of computer science that is closer to human thinking: Logic. This talk will briefly relate algorithms and logic programming and give two examples for logic programming languages.

CV:

Peter Schüller did his PhD at TU Wien on inconsistency in knowledge representation and his postdoc on cognitive robotics at Sabanci Unviersity in Istanbul and then worked on Natural Language Processing as Assistant Professor in Marmara University in Istanbul. Currently he is Postdoctoral Researcher at TU Wien in Austria and he has a consulting company in Vienna, focusing on System and Database Design with a bit of Machine Learning.

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Wednesday, on March 25th, 2020 at 3 pm:

AI at the Grassroots - why we need a different approach to achieve the UN 2030 agenda

The Speaker has been:
Tara Chklovski

Tara Chklovski is CEO and founder of global tech education nonprofit Technovation

This is the link to recording:
https://attendee.gotowebinar.com/recording/1349835646845305868

What isTara Chklovski talk about

The United Nations 2030 Agenda for Sustainable Development focuses on prosperity and well-being for all people and our planet. However, in the intermediate ten years between now and 2030, countries all around the world will face increasingly serious challenges around access to clean air, water, food security, natural disasters, decreased health (Watts et al., 2018), the forced displacement of millions of individuals (IDMC, 2019), as well as the continued challenges of poverty and inequality. 

As a planet, we have two powerful solutions to leverage: Technology and human ingenuity.

And we need everyone, not just technology experts, to engage as concerned and informed global citizens. We need more people to believe they can effect change in their lives and in their communities, and to recognize that technologies such as AI offer great potential for positive change. 

Yet, currently, the places where AI is being developed are not as diverse and representative as they should be. The unusual speed, scale, and top-down nature of AI technologies requires a deliberate and thoughtful counter-approach that boosts vulnerable groups at the grassroots levels beyond simply being users - or victims - of these technologies, but equal contributors and participants in their creation. A grassroots approach to AI is needed to seize its benefits and mitigate any negative consequences. 

Tara Chklovski, Founder and CEO of a global technology entrepreneurship nonprofit, Technovation, will share lessons, data and stories from 15 years in the field - empowering vulnerable groups, particularly girls and mothers, to tackle pressing problems in their communities - using the most cutting-edge technology tools of our time - AI.

Bio

Tara Chklovski is CEO and founder of global tech education nonprofit Technovation. Technovation runs two competitions through which it empowers underserved communities (especially women and girls) to tackle community problems using cutting-edge technologies (mobile and AI). Prominently featured in the award-winning documentary Codegirl, Forbes named Chklovski “the pioneer empowering the incredible tech girls of the future” for her work encouraging the next generation of innovators and problem solvers. A STEM education advocate, she led the 2019 education track at the UN’s AI for Good Global Summit, presenting Technovation's findings at SXSW EDU, UNESCO’s Mobile Learning Week, Mobile World Congress L.A., the International Joint Conference on AI, and the Global Partnership on AI for Humanity convened by the French Government. Since its founding in 2006, Technovation has engaged more than 130,000 children, parents, mentors, and educators in its mobile and AI programs in 100+ countries.   

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Tuesday, on March 24, 2020 at 3 pm:

Promoting unethical AI is very easy: stay away from arts and culture!

The Speaker has been:
Max Haarich

(Consultant on Arts&Tech and Ethics in Artificial Intelligence, Germany)

This is the link to the recording :
https://attendee.gotowebinar.com/recording/1158625077195083521

 

What Max Haarich wants to discuss with us:

Promoting unethical AI is very easy: stay away from arts and culture! The talk will show several examples how arts and culture make technology more ethical, accessible and innovative. The Munich Embassy of the Lithuanian artist republic Užupis will serve as one example for the combination of technology, arts and culture with a special emphasis on policy making for ethical AI.

Short CV

Max Haarich works as AI Representative of Society for Digital Ethics, Freelance, Dec 2019 – Present , Location Berlin und Umgebung, Deutschland

He is also is the Ambassador of the Republic of Užupis in Munich: Dates Employed Apr 2017 – Present , Location Munich Area, Germany

- Representation of the Republic of Užupis and its constitution

- Promotion of exchange between arts and technology

- Talks, interviews, discussions

More information under: https://www.linkedin.com/in/haarich/

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Wednesday, on March 18th, 2020 at 3 pm:

Is hybrid AI suited for hybrid threats?  Lessons from cyberspace analysis

The Speaker has been: Valentina Dragos is a research scientist, member of the Department of Information Processing and Systems at ONERA, The French Aerospace Lab in Palaiseau, France.

Here is the link to the recording

https://attendee.gotowebinar.com/recording/5834838134389050379

This presentation investigates several issues of using AI techniques to analyze social data in order to detect threats in the cyberspace. Social data is understood as information collected from social media, including a wide range of networks and platforms that show what online users publish on those platforms but also how they share, view or engage with content or other users. First, we will analyze how the virtual domain of cyberspace is unlike the environmental domains of air, land, maritime and space and how it challenges traditional understanding of concepts such as temporality, conflict, information, border, community, identity or governance. Several specific phenomena will be considered: opacity and information filtering (echo chambers, bubble filters), disinformation campaigns (fake news, propaganda, hoaxes, site spoofing), misleading intentions (data leaks), biased interactions (social boots, smoke screening). The discussion is based on practical illustrations of social data analysis, tackling fake news propagation in the aftermath of terrorist attacks and the propagation of extremist ideologies online. The presentation concludes by illustrating the state of art on tools and techniques for cyberspace exploration along with several ongoing research projects, while also leaving room for discussion. 

Short CV

Valentina Dragos is a research scientist, member of the Department of Information Processing and Systems at ONERA, The French Aerospace Lab in Palaiseau, France. Valentina received Master and PhD degrees in Computer Science from Paris V University and her research interests include artificial intelligence, with emphasis on natural language processing, semantic technologies and automated reasoning. Since joining ONERA in 2010, Valentina contributed to several defence and security projects, addressing topics related to semantic interoperability for command and control systems, heterogeneous information fusion, exploration of open sources and social data and integration of symbolic data for situation assessment. Valentina is currently the scientific coordinator of FLYER, a national project dedicated to hybrid AI solutions for social media analysis and a member of NATO research track on Social Media Exploitation for Operations in the Information Environment.

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Wednesday, on March 11th, 2020 at 3 pm:

“The Publication Process and the AI resource catalogue of the AI4EU Platform”

The Speaker was:
Joachim Köhler (Fraunhofer IAIS in Sankt Augustin, Germany)

This is the link for the recording:

https://attendee.gotowebinar.com/recording/4372847209597115139

Description of of his live presentation

This presentation gives an overview the publication process and the catalogue of the AI4EU platform. One main service of the AI4EU platform is the catalogue of AI resources, which can be accessed by the users. The following types of AI resources are supported: data sets, AI models, docker containers, executables, and Jupyter notebooks. The presentation shows the concrete steps of the publication process. The AI resource provider has to enter required fields of metadata and information to publish an AI resource. This will be demonstrated and described in detail. Further, the search and navigation to find an AI resource will be shown. Finally, the presentation provides an outlook to the use of AI resources in the experimentation part of the AI4EU platform using the Acumos framework.

CV

Dr. Joachim Köhler (male) received his diploma and Dr.-Ing. degree in Communication Engineering from the RWTH Aachen and Munich University of Technology in 1992 and 2000, respectively. In 1993 he joined the Realization Group of ICSI in Berkeley where he investigated robust speech processing algorithms. From 1994 until 1999 he worked in the speech group of the research and development centre of the SIEMENS AG in Munich. The topic of his PhD thesis is multilingual speech recognition and acoustic phone modelling. Since June 1999 he is with Fraunhofer IAIS in Sankt Augustin and head of the department NetMedia. The research focus of NetMedia lies in the area of multimedia indexing and search methods and applications. His current research interests include pattern recognition, machine/deep learning, speech recognition, spoken document and multimedia retrieval and cloud-based multimedia information architectures. He was recently technical coordinator of the European IP-project Linked-TV. Now he acts as technical manager in the AI4EU project, building a European AI on-demand platform. Finally, he leads the SPEAKER project: A speech assistant platform – Made in Germany.

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Wednesday, on March 4th, 2020 at 3 pm:

 “AI and Education to fight with Bias? "

The Speaker is:
Moojan Asghari (Women in AI, Paris)

Here is the link to the recording:

https://attendee.gotowebinar.com/recording/5638802907428327426

Here is a short description of her live presentation:

How can a technology be the future without involving 50% of the population? AI is the future and without Women it will not achieve its goal which is to provide more personalised, precise and adapted solutions to everyone.

Join us on the discussion about the problem of Bias in AI and the importance of Education in AI to tackle the issue

 

CV of Moojan Asghari

Professional Experience

Women in AI (WAI), Paris, France (3 years) Jan-17 – Present

President and Co-founder

● Created the core team in Paris and successfully launched the Paris chapter in April 2017 and developed it to a global

network of +3000 members across 100 countries, actively involved with WAI.

● Registered the organisation as a non-profit in Paris and expanded to 30 chapters around the world, from the US, to

South Africa, Australia, Japan and several European countries.

● Led projects including Wai2Go (WAI educational program for kids), WaiAwards (an Award for female

entrepreneurs in AI), WaiSummit (an annual gathering of WAI network), AI4EU (as part of a consortium funded by

European Commission), WaiCamp (2-day workshop for teenagers)

● Represented WAI in over 30 international conferences including European Parliament, UNESCO, OECD and Slush.

 

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On Feb 26th, 2020 at 3 pm

“Analysis of Gender Bias studies in Natural Language Processing"

The Speaker was:
Marta R. Costa-Jussa

(UPC, Researcher)
The link to recording is:

https://attendee.gotowebinar.com/recording/9142633104181700102

 

What was Marta’s presentation about:

Demographic biases are widely affecting artificial intelligence. In particular, gender bias is clearly spread in natural language processing applications, e.g. from stereotyped translations to poorer speech recognition for women than for men. In this talk, I am going to overview the research and challenges that are currently emerging towards fairer natural language processing in terms of gender.

CV

Marta R. Costa-jussà is a Ramon y Cajal Researcher at the Universitat Politècnica de Catalunya (UPC, Barcelona). She received her PhD from the UPC in 2008. Her research experience is mainly in Machine Translation. She has worked at LIMSI-CNRS (Paris), Barcelona Media Innovation Center, Universidade de São Paulo, Institute for Infocomm Research(Singapore), Instituto Politécnico Nacional (Mexico) and the University of Edinburgh. She has participated in 18 European (including an IOF Marie Curie Action) and Spanish national projects. She has organised 10 workshops in top venues and published more than 100 papers. She regularly cooperates with companies as a scientific consultant. Currently, she is leading the Spanish Project of AMALEU. She has received two Google Faculty Research Awards in 2018 and 2019.

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On Feb 19th, 2020 at 3 pm, Sebastian Steinbuß, the Lead Architect of the International Data Spaces Association IDSA (Germany) presented

“Data Sovereignty as a key enabler for AI in Europe"

 

What was Sebastian Steinbuß’s presentation about:

Data is the raw material for innovation. This is particularly true for three major areas that are of paramount importance in today’s digitalized world: artificial intelligence (AI), the internet of things (IoT), and big data. For data to unfold its full potential, it must be made available cross-platform, cross-company, cross-industry business ecosystems. The International Data Spaces Association with more than 100 members from industry and research aims at creating a secure and trusted data space, in which companies of any size and from any industry can manage their data assets in a sovereign fashion. This session will present the core ideas of the IDS Architecture and its benefits for AI.

 

CV

Sebastian Steinbuß worked for nine years at the Fraunhofer-Institute for Software and Systems Engineering in Dortmund as Scientist in the context of Cloud Computing, Big Data and IoT. Here, he gathered experiences regarding Digitization in Logistics and Service Industries. Since 2017 he is the Lead Architect of the International Data Spaces Association IDSA. Here he is responsible for the technical development of the IDS and the organization of the IDSA Working Groups.

Here is the link to the Recording

https://attendee.gotowebinar.com/recording/2513984263909072390

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On Feb 5th 2020, at 3 pm, Huma Shah from Coventry University, UK presented the AI4EU Web Café Session themed

"Are non-diverse AI research and development teams risking bias in innovated algorithms and artefacts?"

Here is the link to the Recording

https://attendee.gotowebinar.com/recording/4550672323892120833

What is Huma’s presentation about:

While the EU-funded Humane-AI consortium (https://www.humane-ai.eu/humaneai-people/) shows gender diversity, the lack of people of colour ignores the fact that the EU region is diverse. More must be done by publically-funded EU AI projects to ensure they lessen the risk of discriminating a section of society, especially if the region aims to lead in Artificial Intelligence research and export its technologies around the world. This can be achieved through artificial intelligence being taught in early education with robotics to engage more females, more males from socio-economically disadvantaged homes and children of different cultures leading to diverse AI research and development teams.

CV

Director of Science, EU Horizon2020 CSI-COP research and innovation project coordinated by Coventry University

Associate Member, Data Science Research Centre

Assistant Professor ‘Trust in AI’, School of Computing, Electronics and Mathematics

Faculty of Engineering, Environment and Computing,  

Her research focus examines fundamental artificial intelligence and trust in artificial intelligence applications.

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On Jan 29th, 2020 at 3 pm, Mihai Datcu (DLR, Germany) presented the live AI4EU Web Café Session themed

"Earth Observation Big Data Challenges:  the AI change of paradigm".

Here the link to the recorded session:

https://attendee.gotowebinar.com/recording/5730711083619976460

What was Miha Dactu’s presentation about:

Earth Observation Big Data Challenges: the AI change of paradigm

The volume and variety of valuable Earth Observation (EO) images as well as non-EO related data is rapidly growing. The deluge of EO images of Terabytes per day needs to be converted into meaningful information, largely impacting the socio-economic-environmental triangle.  An important particularity of EO images should be considered, is their  “instrument” nature, i.e. in addition to the spatial information, they are sensing physical parameters, and they are mainly sensing outside of the visual spectrum.

 

Machine and deep learning methods are mainly used for image classification or objects segmentation, EO require hybrid AI methods encompassing from mathematical models for the satellite orbit, the physics of electromagnetic propagation and scattering, signal processing, machine learning, or knowledge representation. The new specific AI methods for EO are designed to leverage advances in physical parameters extraction.

 

Biography

Mihai Datcu received the M.S. and Ph.D. degrees in Electronics and Telecommunications from the University Politechnica Bucharest UPB, Romania, in 1978 and 1986. In 1999 he received the title Habilitation à diriger des recherches in Computer Science from University Louis Pasteur, Strasbourg, France. Currently he is Senior Scientist and Data Intelligence and Knowledge Discovery research group leader with the Remote Sensing Technology Institute (IMF) of the German Aerospace Center (DLR), Oberpfaffenhofen, and Professor with the Department of Applied Electronics and Information Engineering, Faculty of Electronics, Telecommunications and Information Technology, UPB. From 1992 to 2002 he had a longer Invited Professor assignment with the Swiss Federal Institute of Technology, ETH Zurich. From 2005 to 2013 he has been Professor holder of the DLR-CNES Chair at ParisTech, Paris Institute of Technology, Telecom Paris. His interests are in Data Science, Machine Learning and Artificial Intelligence, and Computational Imaging for space applications. He is involved in Big Data from Space European, ESA, NASA and national research programs and projects. He is a member of the ESA Big Data from Space Working Group. He received in 2006 the Best Paper Award, IEEE Geoscience and Remote Sensing Society Prize, in 2008 the National Order of Merit with the rank of Knight, for outstanding international research results, awarded by the President of Romania, and in 1987 the Romanian Academy Prize Traian Vuia for the development of SAADI image analysis system and activity in image processing. He is IEEE Fellow. He is holder of a 2017 Blaise Pascal Chair at CEDRIC, CNAM.

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On Jan 22nd, 2020 at 3 pm Miha Turšič (Waag, Amsterdam) presented the AI4EU Web Café session themed

“AI in a world of cross-over challenges”

Here the link to the recorded session:

https://attendee.gotowebinar.com/recording/6570954570876694018

What was his presentation about:

The world of the 21st century is emerging in the form of cross-over challenges that no knowledge domain can cope with by itself. This is the case with technologies like AI is that they are simultaneously reshaping not only the economy but also the society and the environment.

Capacities of deep learning and autonomous decision making introduced new subjectivities like smart assistants as well as ways of urban mobility that reshape the appearance of urban landscapes. Yes, technologies are not neutral. While they appear as commodities, they also bring concerns and controversies. Due to their utterly remote and invisible presence, also their impact remains invisible—unless it gets addressed.

CV

Miha Turšič (1975) is an artist, designer, and researcher, dedicated to the development of arts and humanities in outer space. He designed works in reference to the human condition in outer space, developing post-gravitational art and artistic satellites, founded Cultural Centre of European Space Technologies, an institution with dedicated Cultural Space Programme and actively developing cooperations between space and art institutions in Europe, Russia, United States, and China. Currently, he works at Waag as a concept and project developer, specialized for art-science interactions.

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On Wednesday, Dec 18th, at 3 pm (CEST), Catherine Tessier (Onera, the French Aerospace Lab) presented AI4EU Web Café session themed “Artificial Intelligence and Ethics”

Here is the link to the recorded session

What was the Presentation about?

After clarifying what Artificial Intelligence (AI) software covers and what ethics means, we will focus on three sets of issues:

(1) some ethical issues related to research in AI or to the design of AI-based software,

(2) some ethical issues related to the use of AI-based software and

(3) some “ethics-by-design” issues and the ethics washing risk.

CV:

Catherine Tessier is a senior research scientist at ONERA, Toulouse, France. She has been also ONERA’s research integrity officer since October 1st, 2018.

She received her doctorate in 1988 and her accreditation as research director in 1999. She is also a part-time professor at ISAE-SUPAERO, Toulouse.

Her research focuses on authority sharing between robots and humans, on the implementation of ethical frameworks and moral values into robots and on ethical issues related to the use of robots.

She is a member of COERLE (Inria’s operational ethics committee for the evaluation of legal and ethical risks), of CERNA (Allistene alliance advisory board for the ethics of information and communication technologies) and of the new French national pilot ethics committee for information technologies.

See also  https://www.onera.fr/fr/staff/catherine-tessier

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On Wednesday, Dec 11th, at 3 pm (CEST) Manuela Battaglini (Transparent Internet, Denmark) presented an AI4EU Web Café session themed “Transparency in automated decision-making processes and personal profiling”

Manuela Battaglini was joined by her Special Guest Steen Rasmussen (Transparent Internet, Denmark) to make the case for the main theme. 

Here is the link to the recorded session

 

What was the Presentation about?

Manuela Battaglini will speak from a legal and ethical perspective about “Transparency in automated decision-making processes and personal profiling”.

Her idea is to talk about how we are where we are right now in terms of privacy (a bit of historical overview, briefly), then talk about what is causing opacity in ML algorithms and the issues, and then, the solutions.

 

Speaker:

 

Manuela Battaglini

is a data ethics lawyer, strategic marketer and CEO of the company Transparent Internet. She helps businesses and organisations to identify why, how and with which transparent and ethical technologies they can simultaneously increase market reach as well as client trust and benefits to society. Manuela initially worked as a lawyer for 10 years. In 2008, she engaged in the world of strategic digital marketing where she has, over the years, acquired deep knowledge about the inner working of online platformsand big data. Over recent years, she has combined these areas of expertise, as she understands the nexus of law, marketing and technology. Recently, she has founded a company, Transparent Internet, combining law, data ethics, marketing and technology to help companies and organisations develop, implement and use technology in a more transparent and ethical manner while at the same time increase their commercial edge. Manuela believes that if more organisations develop and implement technology in a more ethical and transparent manner, we will enhance personal freedom, trust, tolerance and sustainability. And this is the world she wants to live in.

Transparent Internet, Tårup Bygade 30, DK-5370 Mesinge, Denmark

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On Wednesday, November 27th, at 3 pm (CEST) Philipp Slusallek (DFKI) presented a Web Café session themed "Understanding the World with AI: Training and Validating AI Systems using Synthetic Data”

The Speaker is: Philipp Slusallek (DFKI), Scientific Director and Site Director, German Research Centre for Artificial Intelligence (DFKI), Saarbrücken, Germany. 

Here is the link to the recorded session

What was the Presentation about?

Artificial Intelligence (AI) systems that deal with reality need to reliably make accurate decisions even in highly complex and critical situations, in particular when human lives are at stake. However, suitable real training data is often hard to come by, especially for critical situations that hardly ever happen.

Digital Reality uses AI to optimize and validate other AI systems. The approach allows to simultaneously learn models of the real world and use them for the training of AI systems by synthetically generating the needed sensor data via simulations. This approach also allows us to systematically validate AI systems by automatically generating test cases from our models that specifically address critical aspects.

Validation with real data also allows us to continuously identify limitations in the models and adapt them to the dynamic changes in the real world.

 

CV

Philipp Slusallek is Scientific Director at the German Research Center for Artificial Intelligence (DFKI), where he is leading the Research Area “Agents and Simulated Reality” since 2008, is the Site Director for DFKI Saarbrücken, and a member of the executive board of DFKI. He has been Director for Research at the Intel Visual Computing Institute, a central research institute of Saarland University co-funded by Intel from 2009 to 2017. He is principal investigator at the Saarbrücken Cluster of Excellence on “Multimodal Computing and Interaction”. At Saarland University he has been a full Professor of Computer Graphics since 1999. Before coming to Saarland University, he was a Visiting Assistant Professor at Stanford University, USA. He studied physics in Frankfurt and Tübingen (Diploma/M.Sc.) and got his Ph.D. in Computer Science from Erlangen University, Germany.

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On Wednesday, November 20th, at 3 pm (CET) Pierre Pleven (TeraLab, Paris) presented a public AI4EU Web Café session themed: AI Opportunities and Challenges: Beyond Hype and Fears

Pierre Pleven addressED some hot & controversial AI topics :

  • Why AI now?
  • Toward a Data economy?
  • AI: a geopolitical challenge?
  • European values: Human centred AI.

Here is the link to the recorded session

 

CV

TeraLab Strategic Advisor at INSTITUT MINES TELECOM with 45 years of IT experience with humble contribution to Digital transformation of Society and Industry. Hands on contribution in several ICT sector new business creation (range 10-700 employees). Managed 4 IT Startups / Spinoffs, Coached x100 Business ideas and x 10 Startups. Managed x10 Research & Innovation projects .As Business Angel Invested in 3 Startups and SMEs + sub-Saharan ethics business ventures. Managed TeraLab:   AI/Big Data platform for Research and Innovation https://www.teralab-datascience.fr/fr/.Now focusing on Data Driven economy : Education , Research, Innovation.

Contributing to one of the last IT frontiers:  Trust and Data Governance, key elements of the AI promise, and the proposed novel man machine relationship.

https://www.linkedin.com/in/pierrepleven/

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On Nov 13th, 2019 at 3 p.m. James L. Crowley (Univ. Grenoble-Alps and INRIA Grenoble Rhone-Alpes Research Center) made his presentation titled “Artificial Intelligence: a Rupture Technology for Innovation”.

The Turing test defines intelligence as human-level performance at interaction. After more than 50 years of research, Machine Learning has provided an enabling technology for constructing intelligent systems with abilities at or beyond human level for interaction with people, with systems, and with the world. This technology creates a fundamental rupture in the way we build systems, and in the kind of systems that can be built.

In this talk I will provide a review of recent progress in Machine Learning, and examine how these technologies change the kind of systems that we can build.  Starting with a summary of the multi-layer perceptron and back propagation, I will describe how massive computing power combined with planetary scale data and advances in optimization theory have created the rupture technology known as deep learning.  I will discuss common architectures and popular programming tools for building convolutional and recurrent neural networks, and review recent advances such as Generative Adversarial Networks and Deep Reinforcement Learning. I will examine how these technologies can be used to build realistic systems for vision, robotics, natural language understanding and conversation. I conclude with a discussion of open problems concerning explainable, verifiable, and trustworthy artificial systems. “

Here is the link to the recorded session

CV:

James L. Crowley is a Professor at the Univ. Grenoble Alpes, where he teaches courses in Computer Vision, Machine Learning and Artificial Intelligence at Grenoble Institut Polytechnique (Grenoble INP). He directs the Pervasive Interaction research group of the Grenoble informatics laboratory (LIG) at INRIA Grenoble Rhône-Alpes Research Center in Montbonnot, France. He has recently been named to the Chair on Intelligent Collaborative Systems at the Grenoble Multidisciplinary AI Institute.

 

Over the last 35 years, professor Crowley has made a number of fundamental contributions to computer vision, robotics, multi-modal interaction and Intelligent Systems. These include early innovations in scale invariant computer vision, localization and mapping for mobile robots, appearance-based techniques for computer vision, and visual perception for human-computer interaction. Current research concerns  Collaborative  Interaction with Intelligent Systems

 

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On November 11st, 2019 at 3 pm (CEST) Michela Milano (University of Bologna) and Sonja Zillner (Siemens) presented “Strategic Research and Innovation Agenda of AI4EU” in the AI4EU Web Café:

“AI4EU has among its objectives the definition of a Strategic Research and Innovation agenda.This SRIA should focus mainly on how the platform can contribute to the achievement of a vision that we have for AI in Europe. The starting step in this process is the definition of a Vision Document which has been just released by the project and now it is open for discussion. this web cafe is intended to explain the structure and content of the document to foster discussion, that is supposed to be delivered next June.”

Here is the link to the recorded session

CV

Michela Milano is full professor at the Department Computer Science and Engineering of the University of Bologna. She is Deputy President of EurAI (the European Association of Artificial Intelligence) and Executive Councillor of AAAI (the Association for the Advancements of Artificial Intelligence). She is Editor in Chief of the Constraint Journal, past Area Editor of INFORMS Journal on Computing and member of the Editorial Board of ACM Computing Surveys. Her research interests cover decision support and optimization systems merging techniques of constraint programming, operations research and machine learning. See is author of more than 150 papers on international conferences and journals. She has been the recipient of the Google Faculty Research Award on DeepOpt: Embedding deep networks in Combinatorial Optimization, and coordinated and participated to many EU projects and industrial collaborations.  

 

Sonja Zillner studied mathematics and psychology and accomplished her PHD in computer science specializing on the topic of Semantics. She is Senior Key Experts in the field of Semantic Technologies and Artificial Intelligence at Corporate Technology, Siemens AG and the chief-editor of the Strategic Research Innovation and Deployment Agenda of the AI PPP and leading editor of the Strategic Research and Innovation Agenda of the Big Data Value Association (BDVA). She is author of more than 20 patents in the area of semantics and data analytics. Her research focus lies in the area of semantic technologies, AI and data-driven innovation.

 

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On Oct 23rd Jean-Luc Dormoy (Hub IA) has presented the AI4EU Web Café session themed “Leveraging the impact of AI in Europe”

“The impact of AI is going to happen in all domains of human activity. To face this, we might need new ways of interacting and imagining solutions. For example, if existing business has to adapt, new business has to be favoured, and both should interact smoothly; or, society at large should be able to properly assess the benefits as well as potential threats of AI, and so to understand what it is all about; this will be a condition for a stable, democratic Europe.”

Here is the link to the recorded session 

CV:

Jean-Luc Dormoy has worked in research institutions, large companies and startups. He is a co-founder of Kalray http://www.kalrayinc.com, of VESTA-SYSTEM http://www.vesta-system.fr/?lang=en, and senior advisor of Irene http://www.irene-crowdsale.com, was director for “Smart Electric Systems” for the EDF Group in Europe, and was in charge of software programmes at CEA Tech. He is involved in startup accelerators and initiatives for startups, cyber physical systems, Artificial Intelligence and Smart Energy in the EU. He worked with China at government level and spent some time at Stanford University. Jean-Luc Dormoy is a founding and board member of the #Hub France Intelligence Artificielle, and Lead Europe. He was trained in mathematics at the Ecole Normale Supérieure de Saint-Cloud, and got a PhD in Artificial Intelligence from Paris 6 University.

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