Responsibility research for trustworthy autonomous systems

Conference paper (2021)

Authors

Vahid Yazdanpanah University of Southampton
Enrico H. Gerding University of Southampton
Sebastian Stein University of Southampton
Mehdi Dastani Universiteit Utrecht
C.M. Jonker Interactive Intelligence - EEMCS
Timothy J. Norman University of Southampton
Research Group
Interactive Intelligence (EEMCS) (TU Delft)
Copyright: © 2021 Vahid Yazdanpanah, Enrico H. Gerding, Sebastian Stein, Mehdi Dastani, C.M. Jonker, Timothy J. Norman
Human-agent collectives Human-centred AI Multiagent responsibility reasoning Trustworthy autonomous systems
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Published Date

2021

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Intelligent Systems

Research Group

Interactive Intelligence

Abstract

To develop and effectively deploy Trustworthy Autonomous Systems (TAS), we face various social, technological, legal, and ethical challenges in which different notions of responsibility can play a key role. In this work, we elaborate on these challenges, discuss research gaps, and show how the multidimensional notion of responsibility can play a role to bridge them. We argue that TAS requires operational tools to represent and reason about responsibilities of humans as well as AI agents. We review major challenges to which responsibility reasoning can contribute, highlight open research problems, and argue for the application of multiagent responsibility models in a variety of TAS domains.