Responsibility ascription in trustworthy autonomous systems
Responsibility ascription in 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 key role to bridge them. We argue that TAS requires operational tools to represent and reason about the responsibilities of humans as well as AI agents.
Trustworthy Autonomous Systems, Multiagent Systems, Responsibility Reasoning, Reliable AI
Yazdanpanah, Vahid
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Gerding, Enrico H.
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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 J.
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Ramchurn, Sarvapali D.
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Yazdanpanah, Vahid
28f82058-5e51-4f56-be14-191ab5767d56
Gerding, Enrico H.
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 J.
663e522f-807c-4569-9201-dc141c8eb50d
Ramchurn, Sarvapali D.
1d62ae2a-a498-444e-912d-a6082d3aaea3
Yazdanpanah, Vahid, Gerding, Enrico H., Stein, Sebastian, Dastani, Mehdi, Jonker, Catholijn M., Norman, Timothy J. and Ramchurn, Sarvapali D.
(2021)
Responsibility ascription in trustworthy autonomous systems.
Embedding AI in Society, North Carolina State University, Raleigh (online), United States.
18 - 19 Feb 2021.
5 pp
.
(In Press)
Record type:
Conference or Workshop Item
(Other)
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 key role to bridge them. We argue that TAS requires operational tools to represent and reason about the responsibilities of humans as well as AI agents.
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Responsibility Ascription in Trustworthy Autonomous Systems
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Responsibility Ascription in TAS (Raab Symposium)
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Accepted/In Press date: 18 February 2021
Venue - Dates:
Embedding AI in Society, North Carolina State University, Raleigh (online), United States, 2021-02-18 - 2021-02-19
Keywords:
Trustworthy Autonomous Systems, Multiagent Systems, Responsibility Reasoning, Reliable AI
Identifiers
Local EPrints ID: 446459
URI: http://eprints.soton.ac.uk/id/eprint/446459
PURE UUID: 3c3c6923-a7e1-435f-8b5f-0c03b42e4504
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Date deposited: 10 Feb 2021 17:33
Last modified: 16 Apr 2024 01:58
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