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 here:

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:

Call for Speakers for AI4EU Café: “AI-ROBOTICS vs COVID-19 “

The European Commission has launched on the European AI Alliance Platform the “Join the AI-ROBOTICS vs COVID-19 initiative”. The link is:

In the spirit of this “AI-ROBOTICS vs COVID-19 “initiative The AI4EU Café would like to invite you as Speaker in the AI4EU Café, if you want to present in public your developed AI system, robotic tool or ideas on the role that technology and AI in particular could play during the current healthcare crisis. Please suggest your presentation to the AI4EU Café organizer:



The upcoming AI4EU Web Café Sessions are:


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

Logic Programming: is it logic or search?

The Speaker is:

Peter Schüller

(Postdoctoral Researcher at TU Wien in Austria)

This is the link to register:

What is 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.


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.


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 register:


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


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

All recordings you find under:


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:

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.


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.   


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 :


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:



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

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.




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:

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.


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.



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:

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.



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:


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.


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.


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.



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


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

What is Huma’s presentation about:

While the EU-funded Humane-AI consortium ( 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.


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.


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:

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.



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.



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:

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.


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.


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.


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


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.




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



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.



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.


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



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 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.


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


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



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



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.




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 


Jean-Luc Dormoy has worked in research institutions, large companies and startups. He is a co-founder of Kalray, of VESTA-SYSTEM, and senior advisor of Irene, 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.