Conveners
Session: Panel discussion with the four keynotes
- Alan Paic (GPAI)
Session: Ethics, bias, and politics
- Guive Khan-Mohammad (University of Geneva)
- Floiriana Gargiulo (CNRS Gemass)
- Tommaso Venturini (University of Geneva)
Session: AI in Education
- Laure Soulier (Sorbonne University)
- Isabelle Collet (University of Geneva)
Session: Generative AI and Disinformation
- Pam Dixon (World Privacy Forum)
Session: Computing power and algorithms as foundations of AI
- Francois Fleuret (University of Geneva)
- Tobias Golling (Universite de Geneve (CH))
Session: Trustworthy data as a foundation of trustworthy AI to support policy making
- Bertrand Loison (Swiss Federal Statistical Office)
- Diego Kuonen (University of Geneva)
- Stefan Sperlich (University of Geneva)
Session: Evidence-based policy making
- Giovanna Di Marzo Serugendo (University of Geneva)
- Lamia Friha (University of Geneva)
- Gianfranco Moi (University of Geneva)
Session: AI for health
- Douglas Teodoro (University of Geneva)
- Kerstin Denecke (Bern University of Applied Sciences)
Session: interpretability, explainability and uncertainty
- Mara Graziani (IBM Research Europe)
- Henning Müller (University of Geneva)
Session: AI in the physical sciences
- Thea Aarrestad (ETH Zurich (CH))
- Tobias Golling (Universite de Geneve (CH))
Session: Generative AI: a game-changer for climate action?
- Celine Caira (OECD AI Policy Observatory)
Session: AI for Work/Labour
- Daniel Samaan (International Labour Organisation)
- Matthias Peissner (Fraunhofer IAO)
Session: How can we protect human rights, including privacy, in an AI-driven world?
- Yaniv Benhamou (University of Geneva)
- Celine Caira (OECD AI Policy Observatory)
- Rashad Abelson (OECD AI Policy Observatory)
- Lee Tiedrich (Duke University)
Session: Computational diplomacy
- Marga Gual Solar (Geneva Science and Diplomacy Anticipator, GESDA)
- Stephan Davidshofer (University of Geneva)
- Didier Wernli (University of Geneva)
Session: Societal challenges posed by modern AI
- Francois Fleuret (University of Geneva)
- Beatrice Joyeux Prunel (University of Geneva)
In this session, we will address a series of non-technical questions related with AI and with its impact on our societies. We will consider both the potentials and the side effects of these technologies in terms of their consequences on politics, ethics, gender and other societal balances. We will also discuss how these technologies should be regulated and governed to promote social fairness...
According to political, media and social commentators, artificial intelligence will have revolutionary applications in education, for the better: personalisation of learning, adaptive learning, assessment support, identification of at-risk learners, or for the worse: cheating on exams, loss of fundamental learning, replacement of teachers by interactive AIs to cut costs, etc.
The aim of...
What are data quality and quality management? What are the most important moments in the life of data and what do they have to do with trustworthy AI? When can you have trust and why? Why is trust not always a “given”?
A general misunderstanding of modern machine learning methods is the belief that more sophisticated, flexible methods have fewer requirements on data quality. This has led to...
Determining an effective public, private or international policy that addresses a desired problem is a complex and difficult task. According to UNICEF: “Evidence-based policy making refers to a policy process that helps planners make better-informed decisions by putting the best available evidence at the center of the policy process". Such a policy development process considers "evidence" as...
Join us for an engaging session focused on the transformative role of AI in healthcare. While AI technologies have garnered considerable attention for their immense potential, they have also sparked contentious debates. This session aims to delve into the present applications, prevailing challenges, and the outlook of AI in medicine, health, and care. Throughout the session, we will explore...
Deep learning is used for most machine learning applications at the moment, as the results are often very good and it limits manual feature engineering. As an intrinsically black box model it causes problems in domains such as medicine where mistakes can have serious effects and in general when humans need to integrate and understand outcomes of deep-learning based decision support with other...
This panel is dedicated to the question of the role and prospect of AI in the physical sciences. What decision should be taken now to set the course for a successful and possibly transformative usage of AI in science and beyond. And what role can science play in the unfolding of maybe the biggest challenge and opportunity humanity will have to face: to use AI for good.
Generative AI has taken the world by storm – ChatGPT is estimated to have reached 100 million active users just two months after its launch, making it the fastest-growing consumer application in history. Generative AI applications have quickly grown, having transformational impacts across law, medicine, media, and creative industries. By some estimates, generative AI could account for a 7%...
With the advent of generative AI and large language models, today’s AI systems rely on increasingly large amounts of training data, including personal data. This has raised policy concerns around how human rights, including the right to privacy, can be protected in an AI-driven world. The OECD has been leading on multiple fronts to support the development and implementation of global standards...
Artificial intelligence has the potential to significantly impact the field of computational diplomacy, which refers to the use of computational methods and technologies to study global governance and diplomacy. The session will cover the research needs from data driven approaches to computational modelling and present state of the art application of AI to the study of global governance and diplomacy.
Brice Catherin is an artist and doctor in music composition (university of Hull). He has 17 years of experience as an independent musician, intermedia artist, AI artist, and performance artist, and 6 years of experience as an art researcher.
His transversal and international approach to art practices has led him to collaborate with artists from all over the world. He also develops art...
