EthicsAI Team ⁽⁸⁾

Publication at an international conference (AIES'21).

Available online at the ACM Digital Library.

This paper proposes to use symbolic (logic-based) judging agents to reason about and judge the behavior of learning agents. These judging agents represent a reward function, and encode the moral values that learning agents must respect, by sending rewards corresponding to the correctness of their actions with respect to the moral values.

Artificial Constructivist Agents that Learn Ethics in Human-Involved Co-Construction This project was funded by the French Région Auvergne Rhône-Alpes (AURA), through a Pack Ambition Recherche.

Publication at a national conference (JFSMA'20).

Available online on HAL.

This paper (in French) presents a multi-agent Reinforcement Learning algorithm to learn "ethical behaviours", i.e., behaviours aligned with ethical considerations (moral values). It focuses on multi-dimensional and continuous situations and actions, and includes in-design ethical considerations, such as privacy, by avoiding to share individual data (observations, actions, rewards).