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.
These Web Cafés are moderated and organized by one of the AI4EU Consortium partner, Carmen Mac Williams (Grassroots Arts).
The upcoming AI4EU Web Café Sessions are:
On Jan 22nd, 2020 at 3 pm, Miha Turšič from Creative Disturbance, will present the live AI4EU Web Café session themed
"AI in a world of cross-over challenges"
The world of the 21st century is emerging in the form of cross-over challenges that no knowledge domain can cope with by itself. 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.
Artists engaged in the AI technologies research them not only from the perspective of aesthetics but also ethics and politics. As the art makes the invisible visible, in the context of AI artists pursuit an effort of revealing the hidden processes, infrastructures and resources presentable and understandable.
Within the efforts of S+T+ARTS initiative of the European Commission, the broader community of artists, research institutions and cultural venues take an effort of creative research and innovation, contributing new insights for new societally relevant technologies. Link: www.starts.eu
On Jan 29th, 2020 at 3 pm, Mihai Dactu (DLR, Germany) will present the live AI4EU Web Café Session themed
"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.
On Feb 5th 2020, at 3 pm Huma Shah from Coventry University, UK will present the live AI4EU Web Café Session themed
"Are non-diverse AI research and development teams risking bias in innovated algorithms and artefacts?"
Here is a short description of her live presentation:
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.
The past AI4EU Web Café Sessions were:
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.”
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.”
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. “
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.
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.
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.
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”
For questions, comments and suggestions of new speakers and topics please contact the Web Café Manager Carmen Mac Williams: carmen[ a ]grassroots-arts.eu