3rd Symposium on Artificial Intelligence for Industry, Science, and Society

Session

Keynote

11 Sept 2023, 09:00

Geneva, Campus Biotech

2. Responsible Generative AI with Microsoft Cloud

Philippe Limantour (Microsoft France)

11/09/2023, 09:00

In this talk, I will quickly highlight what has changed with generative AI models, and why we should stay with them even if it's early days. I will provide some examples of customer use cases, and how to run these models with confidence: secure private environments and inference infrastructure, well-trained people, and a responsible AI execution framework (not just principles). I will also...

20. Navigating the way forward on International AI Governance

Andrew Wyckoff (OECD)

11/09/2023, 09:30

Generative AI has accelerated calls for the establishment of an international regulatory framework for AI so as to exploit its full potential while protecting against what many see as existential risks. This framework consists of several differentiated dimensions necessitating the creation of new international organisations. While this may be an ideal solution, the nature of current AI...

3. Behind the journey of ChatGPT: an overview of Large Language Models and their capacities

Laure Soulier (Sorbonne University)

11/09/2023, 10:30

The release of ChatGPT has changed the way AI technologies are perceived as possible for the next years. In this keynote, we will dive deep into the inner workings of ChatGPT and more particularly of (large) language models. We will explore the backbone architecture of current models called Transformer and its interesting properties. We will discuss why such language models can be considered...

21. The EU AI Strategy

Juha Heikkila (European Commission)

11/09/2023, 11:00

4. Physics-inspired learning on graphs

Michael Bronstein (University of Oxford)

12/09/2023, 09:00

The message-passing paradigm has been the “battle horse” of deep learning on graphs for several years, making graph neural networks a big success in a wide range of applications, from particle physics to protein design. From a theoretical viewpoint, it established the link to the Weisfeiler-Lehman hierarchy, allowing to analyse the expressive power of GNNs. We argue that the very...

5. Towards a Global Data Governance Framework

Steve MacFeely (World Health Organisation)

12/09/2023, 15:00

6. Turning AI promise into medical practice

Ger Janssen (Philips)

13/09/2023, 09:00

There is a tremendous increase in interest in AI in healthcare, thanks to the fast developments in Generative AI with a lot of potential use cases being identified. In real life, AI is being used in clinical practice already. In the keynote, various examples of AI solutions currently in use in healthcare will be explained, including the clear value they bring. And although AI is being used,...

7. Computing challenges at the HL-LHC

Dr Maria Girone (CERN)

13/09/2023, 15:00

As the Large Hadron Collider (LHC) program steps into the exascale epoch, a luminosity upgrade is scheduled for 2029 (HL-LHC), which will yield an estimated exabyte of data annually from each detector. This significant escalation in data volume and complexity heralds an unparalleled computational challenge. In anticipation of this imminent landscape, the LHC experiments have initiated an...

8. GPAI Project RAISE: a Responsible AI Strategy for the Environment

Nicolas Miailhe (The Future Society)

14/09/2023, 09:00

I will present a short overview of Project RAISE, its objectives and current work.

9. GPAI and the International Cooperation to ensure an AI For Good

Inma Martinez (GPAI)

14/09/2023, 15:00

10. Oversight of AI algorithms in social media: recommender algorithms, harmful content classifiers, and generative AI models

Alistair Knott (Victoria University of Wellington)

15/09/2023, 09:00