Responsibility research for trustworthy autonomous systems

Vahid Yazdanpanah; Enrico H. Gerding; Sebastian Stein; Mehdi Dastani; Catholijn M. Jonker; Timothy J. Norman

Responsibility research for trustworthy autonomous systems

Vahid Yazdanpanah, Enrico H. Gerding, Sebastian Stein, Mehdi Dastani, Catholijn M. Jonker, Timothy J. Norman

Interactive Intelligence

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

11 Citations (Scopus)

34 Downloads (Pure)

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.

Original language	English
Title of host publication	20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021
Publisher	International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages	57-62
Number of pages	6
ISBN (Electronic)	9781713832621
Publication status	Published - 2021
Event	20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021 - Virtual, Online Duration: 3 May 2021 → 7 May 2021

Publication series

Name	Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Volume	1
ISSN (Print)	1548-8403
ISSN (Electronic)	1558-2914

Conference

Conference	20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021
City	Virtual, Online
Period	3/05/21 → 7/05/21

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

Human-agent collectives
Human-centred AI
Multiagent responsibility reasoning
Trustworthy autonomous systems

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Yazdanpanah, V., Gerding, E. H., Stein, S., Dastani, M., Jonker, C. M., & Norman, T. J. (2021). Responsibility research for trustworthy autonomous systems. In 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021 (pp. 57-62). (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; Vol. 1). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).

Yazdanpanah, Vahid ; Gerding, Enrico H. ; Stein, Sebastian et al. / Responsibility research for trustworthy autonomous systems. 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2021. pp. 57-62 (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS).

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title = "Responsibility research for trustworthy autonomous systems",

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.",

keywords = "Human-agent collectives, Human-centred AI, Multiagent responsibility reasoning, Trustworthy autonomous systems",

author = "Vahid Yazdanpanah and Gerding, {Enrico H.} and Sebastian Stein and Mehdi Dastani and Jonker, {Catholijn M.} and Norman, {Timothy J.}",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. ; 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021 ; Conference date: 03-05-2021 Through 07-05-2021",

year = "2021",

language = "English",

series = "Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS",

publisher = "International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)",

pages = "57--62",

booktitle = "20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021",

}

Yazdanpanah, V, Gerding, EH, Stein, S, Dastani, M, Jonker, CM & Norman, TJ 2021, Responsibility research for trustworthy autonomous systems. in 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, vol. 1, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), pp. 57-62, 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021, Virtual, Online, 3/05/21.

Responsibility research for trustworthy autonomous systems. / Yazdanpanah, Vahid; Gerding, Enrico H.; Stein, Sebastian et al.
20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2021. p. 57-62 (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; Vol. 1).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Responsibility research for trustworthy autonomous systems

AU - Yazdanpanah, Vahid

AU - Gerding, Enrico H.

AU - Stein, Sebastian

AU - Dastani, Mehdi

AU - Jonker, Catholijn M.

AU - Norman, Timothy J.

N1 - Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - Human-agent collectives

KW - Human-centred AI

KW - Multiagent responsibility reasoning

KW - Trustworthy autonomous systems

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M3 - Conference contribution

AN - SCOPUS:85112207511

T3 - Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS

SP - 57

EP - 62

BT - 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021

PB - International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)

T2 - 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021

Y2 - 3 May 2021 through 7 May 2021

ER -

Yazdanpanah V, Gerding EH, Stein S, Dastani M, Jonker CM, Norman TJ. Responsibility research for trustworthy autonomous systems. In 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). 2021. p. 57-62. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS).

Responsibility research for trustworthy autonomous systems

Abstract

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Bibliographical note

Keywords

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