The BEWARE-22 workshop, held on December 2, 2022 in Udine, Italy, focused on emerging ethical aspects of artificial intelligence, with a particular emphasis on bias, risk, explainability, and the role of logic and logic programming. The invited speaker, Francesca Alessandra Lisi, gave a talk on “Ethics & Gender for a Responsible Research and Innovation in AI,” exploring the intersection of ethics and gender in the context of responsible research and innovation in artificial intelligence. The workshop program consisted of three sessions: “Logic for AI”, “Technical Approaches to XAI”, and “Conceptual Views,” which this short preface aims to describe. In total, 13 papers were accepted for the workshop, with 5 accepted as long papers and 8 as short papers. The proceedings include 12 papers out of the 13 from the workshop, plus an invited abstract, and will hopefully serve as a valuable resource for researchers and practitioners working on the ethical aspects of AI, inspiring further discussions and collaborations in this critical area of research.

Proceedings of 1st Workshop on Bias, Ethical AI, Explainability and the Role of Logic and Logic Programming (BEWARE 2022)

Fabio Aurelio D'Asaro
;
2022-01-01

Abstract

The BEWARE-22 workshop, held on December 2, 2022 in Udine, Italy, focused on emerging ethical aspects of artificial intelligence, with a particular emphasis on bias, risk, explainability, and the role of logic and logic programming. The invited speaker, Francesca Alessandra Lisi, gave a talk on “Ethics & Gender for a Responsible Research and Innovation in AI,” exploring the intersection of ethics and gender in the context of responsible research and innovation in artificial intelligence. The workshop program consisted of three sessions: “Logic for AI”, “Technical Approaches to XAI”, and “Conceptual Views,” which this short preface aims to describe. In total, 13 papers were accepted for the workshop, with 5 accepted as long papers and 8 as short papers. The proceedings include 12 papers out of the 13 from the workshop, plus an invited abstract, and will hopefully serve as a valuable resource for researchers and practitioners working on the ethical aspects of AI, inspiring further discussions and collaborations in this critical area of research.
2022
Bias, Ethical AI, Explainability, Logic, Logic Programming
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1086466
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