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Explaining Decisions in Multi-Agent Environments
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Speaker (s):
Sarit Kraus
Professor of Computer Science,
Bar-Ilan University
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Date:
Time:
Venue:
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11 September 2023, Monday
2:00pm – 3:00pm
Meeting Room 5.1, Level 5
School of Computing
and Information Systems 1,
Singapore Management University,
80 Stamford Road,
Singapore 178902
Please register by 10 September 2023.
We look forward to seeing you at this research seminar.
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About the Talk
Understanding and accepting decisions made by artificial intelligence (AI) systems is crucial for human collaboration and trust. This importance grows even further in multi-agent environments, where AI systems make decisions based on unknown goals, potentially influenced by the preferences of other agents. In such complex scenarios, explanations become important in increasing user satisfaction and acceptance by considering factors like the system's decision, user preferences, agent preferences, environmental settings, and key attributes such as fairness, envy, and privacy. In this talk, we will explore the concept of Explainable Decisions in Multi-Agent Environments (xMASE) through two cases: constraints-driven optimization problems and explanations for multi-agent Reinforcement Learning (RL) and elucidating preferences. For each case, we propose an algorithm that generates comprehensive explanations. Furthermore, we will report on human experiments that demonstrate the informativeness and acceptability of explanations to users. Lastly, we present preliminary results on formal models for explanations by a mediator, which aim to assist human negotiators in achieving unanimous agreements.
This is a talk that is part of “CARE.AI Lab Seminar Series” hosted by School of Computing and Information Systems, supported by AI Singapore & Singapore Management University.
About the Speaker
Sarit Kraus (Ph.D. Computer Science, Hebrew University, 1989) is a Professor of Computer Science at Bar-Ilan University. Her research is focused on intelligent agents and multi-agent systems integrating machine-learning techniques with optimization and game theory methods. In particular, she studies the development of intelligent agents that can interact proficiently with people and with robots. For her work, she received many prestigious awards. She was awarded the IJCAI Computers and Thought Award, IJCAI Research Excellence Award, the ACM SIGART Agents Research Award, the ACM Athena Lecturer, the EMET prize and was twice the winner of the IFAAMAS influential paper award. She is an ACM, AAAI and EurAI fellow and a recipient of the advanced ERC grant. She also received a special commendation from the city of Los Angeles, was IJCAI 2019 program chair and will serve as IJCAI 2027 conference chair. She is an elected member of the Israel Academy of Sciences and Humanities.
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