AI Ethics: Definition, Main Issues, and Possible Solutions

Category:  Talks

Published:  2021-02-23

AI Ethics: Definition, Main Issues, and Possible Solutions


Luca M. Possati, University of Porto

February 25th, 2021

Online via zoom, 18:00

Participation is free of charge, but registration is required.

Abstract:   To realize a peaceful and prosperous world for all people and the planet by 2030, we must channel the transformative power of artificial intelligence (AI) towards the United Nations Sustainable Development Goals (SDGs). The capabilities of AI expand our capacity to understand and solve complex, dynamic, and interconnected global challenges such as the SDGs. For this reason, realizing a trustworthy AI is a crucial objective, as shown by the initiatives and documents of many countries, including the USA, China, and EU. A trustworthy AI must be based on transparency, justice, fairness, and human rights. However, many ethical problems are still unexplored: privacy, algorithmic biases, transparency and explainability, moral responsibility, responsible innovation, etc. The aim of AI ethics is to elaborate on these issues and formulate possible solutions. The conference will analyze the main approaches in AI ethics and their concrete applications.


Short biography: Luca M. Possati is a researcher at the University of Porto, Portugal. Educated as philosopher, he has been lecturer at the Institut Catholique de Paris and associate researcher of the Fonds Ricoeur and EHESS (Ecole des hautes √©tudes en sciences sociales). He is associate editor for Humanities & Social Sciences Communications. His fields of investigation are philosophy of technology and artificial intelligence. The study of the formation and development of algorithmic biases through psychoanalytic methods is at the core of his project entitled: "Beyond Turing. A philosophical investigation into the relations among recursion, writing and the foundation of computational reason". He has published numerous papers and books on phenomenology, and history of contemporary philosophy. He is the author of "The Algorithmic Unconscious. How Psychanalysis Helps in Understanding AI" (Routledge, 2021).

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