Multi-Agent Systems: Technical & Ethical Challenges of Functioning in a Mixed Group

Kobi Gal, Barbara J. Grosz

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


In today’s highly interconnected, open-networked computing world, artificial intelligence computer agents increasingly interact in groups with each other and with people both virtually and in the physical world. AI’s current core challenges concern determining ways to build AI systems that function effectively and safely for people and the societies in which they live. To incorporate reasoning about people, research in multi-agent systems has engendered paradigmatic shifts in computer-agent design, models, and methods, as well as the development of new representations of information about agents and their environments. These changes have raised technical as well as ethical and societal challenges. This essay describes technical advances in computer-agent representations, decision-making, reasoning, and learning methods and highlights some paramount ethical challenges.

Original languageEnglish
Pages (from-to)114-126
Number of pages13
Issue number2
StatePublished - 1 May 2022

ASJC Scopus subject areas

  • Arts and Humanities (miscellaneous)
  • Social Sciences (miscellaneous)
  • Political Science and International Relations
  • History and Philosophy of Science


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