Responsibility Research for Trustworthy Autonomous Systems
Responsibility Research for Trustworthy Autonomous Systems
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.
Human-Centred AI, Multiagent Systems, Responsibility Reasoning, Trustworthy Autonomous Systems, human-agent collectives
57-62
Yazdanpanah, Vahid
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Gerding, Enrico
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Stein, Sebastian
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Dastani, Mehdi
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Jonker, Catholijn M.
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Norman, Timothy
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May 2021
Yazdanpanah, Vahid
28f82058-5e51-4f56-be14-191ab5767d56
Gerding, Enrico
d9e92ee5-1a8c-4467-a689-8363e7743362
Stein, Sebastian
cb2325e7-5e63-475e-8a69-9db2dfbdb00b
Dastani, Mehdi
44cecb91-95c6-4821-a307-c43e9434ea4a
Jonker, Catholijn M.
b55441b1-d0fb-49f7-9a09-9375a9201fd0
Norman, Timothy
663e522f-807c-4569-9201-dc141c8eb50d
Yazdanpanah, Vahid, Gerding, Enrico, Stein, Sebastian, Dastani, Mehdi, Jonker, Catholijn M. and Norman, Timothy
(2021)
Responsibility Research for Trustworthy Autonomous Systems.
20th International Conference on Autonomous Agents and Multiagent Systems, London (Virtual), Virtual, United Kingdom.
03 - 07 May 2021.
.
(doi:10.48448/w5y9-qk13).
Record type:
Conference or Workshop Item
(Paper)
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.
Text
Responsibility Research for Trustworthy Autonomous Systems
- Version of Record
Text
Poster_AAMAS21_BlueSky_RespTAS
More information
Accepted/In Press date: 4 March 2021
Published date: May 2021
Additional Information:
Funding Information:
Acknowledgements. This work was supported by the UK Engineering and Physical Sciences Research Council (EPSRC) platform grant ⇑029563⇑1 entitled “AutoTrust: Designing a Human-Centred Trusted, Secure, Intelligent and Usable Internet of Vehicles”. The authors also thank the anonymous referees for their valuable comments and helpful suggestions.
Publisher Copyright:
© 2021 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.
Venue - Dates:
20th International Conference on Autonomous Agents and Multiagent Systems, London (Virtual), Virtual, United Kingdom, 2021-05-03 - 2021-05-07
Keywords:
Human-Centred AI, Multiagent Systems, Responsibility Reasoning, Trustworthy Autonomous Systems, human-agent collectives
Identifiers
Local EPrints ID: 447511
URI: http://eprints.soton.ac.uk/id/eprint/447511
PURE UUID: 1f4776ad-76ef-47fa-ab53-e6aae4be57dd
Catalogue record
Date deposited: 12 Mar 2021 17:36
Last modified: 02 Nov 2023 03:14
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Contributors
Author:
Vahid Yazdanpanah
Author:
Enrico Gerding
Author:
Sebastian Stein
Author:
Mehdi Dastani
Author:
Catholijn M. Jonker
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