AI: the Legal and Ethical Prespective

The event is part of the initiatives carried out within 4EU + Alliance.

The morning includes two round tables of a more scientific nature on highly debated issues concerning the ethical and legal aspects of artificial intelligence.

In the afternoon, the on-line course entitled Thinking AI: Bringing together ethical, legal and social aspects of AI that the universities of the alliances are about to launch will be presented. The course is realized with the collaboration of SCAI . The authors of some chapters will intervene to present their contents.

The latest speeches, by a computer scientist and a company that has made AI their success story, focus on the point of view of those who implement AI and program and invent artificial intelligence algorithms.

PROGRAM

22 Giugno 2022, h 9.00-16.30

Sala Lauree, via Conservatorio 7, Milano

9.00-9.30

Welcome

9.30-11.00

AI: The international private and public perspective and ethical issues

Chair: Benedetta Cappiello, Università degli Studi di Milano

Panelists:

Gabriele Della Morte, Università Cattolica del Sacro Cuore, Milano

Fabio Cozzi, Partner, Studio Legale Delfino -Willkie Farre Gallagher Llp, Milano

Cristina Schepisi, Università degli Studi di Napoli “Partenophe”

Thibault Grison, Sorbonne Université

11.00 -11-30 Coffee break

11.30-13.00

AI: The domestic and comparative perspective

Chair: Gherardo Carullo, Università degli Studi di Milano

Panelists:

Alberto Oddenino, Università degli Studi di Torino

Cristina Poncibò, Università degli Studi di Torino

Isabella Alberti, Università degli Studi di Torino

13.00-14.00 Lunch

14.00-16.30

AI: The education and learning perspective

Chair: Silvia Salini, Università degli Studi di Milano

Xavier Fresquet, Sorbonne Center for Artificial Intelligence

Presentation On-Line course: Thinking AI: Bringing together ethical, legal and social aspects of AI (4EU+ Alliance)

Fabio Scotti, Università degli Studi di Milano

The technical and technological perspective

Cosimo Fiorini, Ammagamma

Multicultural education and ingroup biases: AI as a reflection on human intelligence