Workshop @ Comète on Ethical AI
November 23-24, 2023 - Palaiseau, Paris, France
The research team Comète (Inria Polytechnique) is launching a call for proposals for a 2 days workshop on Ethical Artificial Intelligence, that will take place on 23th-24th November 2023. For this second session, we focus on the intrinsic trade-offs that lie at the heart of Ethical AI. As we observe encouraging progress in domains such as Fairness, Privacy, Explainability, and Robustness, we also see tensions between different goals of Ethical AI. The goal of this Workshop is to have a higher-level overview of the challenges and achievements of trying to satisfy multiple desiderata of Ethical AI at once. We seek to bring together researchers from diverse disciplines in computer science, social sciences, law, and industry practitioners. The possible topics include, but are not limited to trade-offs between:
Join us for interdisciplinary discussions, thought-provoking conversations, knowledge-sharing, and friendly coffee breaks :). Last but not the least, the workshop is getting famous for French gourmet dinner for the participants!
If you have any questions please contact szilvia.lestyan@inria.fr.
Thursday | ||
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Time | Event | |
10:30 – 12:00 | Welcome Brunch | |
12:00 – 13:15 | Keynote: Ljupcho Grozdanovski – University of Liège The Explanations One Needs for the Explanations One Gives: Thoughts on the Epistemic Link between Explainable AI and Causal (Evidentiary) Explanations under the EU’s AI Liability Regulation |
[Abstract] |
13:15 – 13:30 | Short coffee break | |
13:30 – 13:50 | What is the meaning of “bias” in AI? Ambre Davat – GRESEC / Chaire Ethique & IA (Institut MIAI) |
[Abstract] [Presentation] |
13:50 – 14:10 | The need for an interdisciplinary approach to AI research Developing a research ethics framework for AI Anais Resseguier – Trilateral Research |
[Abstract] [Presentation] |
14:10 – 14:30 | What ethics does neuroethics bring to bear on the issue of convergence of AI and neurosciences? Tabouy Laure – Universite Paris-Saclay, CESP INSERM U1018 |
[Abstract] |
14:30 – 14:50 | Dual Use Concerns of Generative AI and Large Language Models Laurynas Adomaitis, Alexei Grinbaum – CEA/Saclay |
[Abstract] [Presentation] |
14:50 – 15:15 | Break | |
15:10 – 15:30 | On the Impact of Local Differential Privacy on Fairness: A Formal Approach Karima Makhlouf – Inria and École Polytechnique |
[Abstract] [Presentation] |
15:30 – 15:50 | Differential Privacy has Bounded Impact on Fairness in Classification Michaël Perrot – Inria |
[Abstract] [Presentation] |
15:50 – 16:10 | Enhancing Metric Privacy With a Shuffler Andreas Athanasiou – PhD Student at Inria/École polytechnique |
[Abstract] [Presentation] |
16:10 – 16:30 | On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence Achraf Azize – Inria |
[Abstract] [Presentation] |
16:30 – 16:50 | Differential privacy surprises: utility is not (always) monotonic on epsilon Natasha Fernandes – Macquarie University |
[Abstract] [Presentation] |
16:50 – 17:15 | Break | |
17:15 – 18:30 | Keynote: Ferdinando Fioretto – University of Virginia Privacy and Fairness in Societal Systems |
[Abstract] |
18:30 - 19:00 | Free discussions and going to the restaurant | |
19:00 - ? | Dinner at Living-Room (approx 500m walk from INRIA building) |
Friday | ||
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Time | Event | |
08:30 – 09:00 | Welcome Coffee | |
09:00 – 09:20 | A Taxonomy of Security Threats, Vulnerabilities, and Controls of AI Systems Yusuke Kawamoto – AIST |
[Abstract] |
09:20 – 09:40 | Legal regulation of AI and morality in the context of natural law and legal positivism Arturas Grumulaitis – Vilnius University |
[Abstract] [Presentation] |
09:40 – 10:00 | When artificial intelligence goes fishing: On the importance of complete and representative training data of AI-driven competition law enforcement Jerome De Cooman – University of Liege |
[Abstract] [Presentation] |
10:00 – 10:20 | Performativity and Prospective Fairness Konstantin Genin – University of Tübingen |
[Abstract] [Presentation] |
10:20 – 10:40 | CALIME: Causality-Aware Local Interpretable Model-Agnostic Explanations Martina Cinquini – University of Pisa |
[Abstract] [Presentation] |
10:40 – 11:00 | Break | |
11:00 – 11:20 | How safe are LLMs compared to search engine autocompletions? A bias check-up Alina Leidinger – University of Amsterdam |
[Abstract] [Presentation] |
11:20 – 11:40 | When mitigating bias is unfair: predictive multiplicity in algorithmic fairness Thibault Laugel – AXA |
[Abstract] [Presentation] |
11:40 – 12:00 | Active Fourier Verifier: PAC Estimation of Model Properties with Influence Functions and Fourier Representations Ayoub Ajarra – Inria Lille - Scool |
[Abstract] [Presentation] |
12:00 – 12:20 | Leveraging fairness to quantify attribute inference attacks success Jan Aalmoes – INSA Lyon |
[Abstract] [Presentation] |
12:20 – 12:40 | Mitigating inherent biases in language models by reinforcement learning Miguel Couceiro – Université de Lorraine, CNRS, LORIA |
[Abstract] [Presentation] |
12:40 – 13:45 | Lunch | |
13:45 – 15:15 | Keynote: Giada Pistilli – Hugging Face Conversational AI Ethics: Philosophy and Real-World Case Studies |
[Abstract] |
15:15 – 15:30 | Break | |
15:30 – 17:00 | Round Table | |
17:00 – 18:00 | Free discussions with coffee and snacks |
Inria Saclay
1 Rue Honoré d’Estienne d’Orves
Bâtiment Alan Turing
Campus de l’École Polytechnique
Palaiseau, France