Correlation and Causality in Responsible AI

This seminar introduces the topic of Responsible AI with a special focus on bias and fairness. It explores the challenge of establishing causal links between key variables and algorithmic accuracy, arguing that current observational techniques fall short for determining causality. An experimental approach based on generative image models is presented as a method for measuring bias, with demonstrations of its application in face recognition systems.
After the seminar, the roundtable discussion, “Disruptive Ideas and Applications in the AI of the Near Future” will follow. It will be moderated by Vittorio Di Tomaso (Managing Director Data & AI – Jakala).

Speakers include:

• Professor Pietro Perona (Professor of Electrical Engineering e Director, Information Science and Technology – California Institute of Technology, Caltech)
• Professor Fabio Pammolli (Full Professor of Economics, Finance, and Data Science – Politecnico Milano, and President, The Italian Institute of Artificial Intelligence AI4I)
• Professor Riccardo Zecchina (Director of the Department of Computing Sciences and Full Professor of Theoretical Physics at Bocconi University)
• Professor Pierluigi Contucci (Professor of Mathematical Physics, Alma Mater Studiorum at University of Bologna)
• Professor Marc Mezard (Full Professor of Theoretical Physics at Bocconi University)

The roundtable offers an opportunity to explore the key challenges and opportunities linked to the evolution of artificial intelligence in the coming years.

Programme
2:30 – 3:00 pm: Registration
3:00 – 4:00 pm: IAS Seminar
4:00 – 4:30 pm: Q&A Session
4:45 – 5:30 pm: Roundtable Discussion

For more information and to register for the event, click here.