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Responsibility of AI systems

Responsibility of AI systems
Responsibility of AI systems
To support the trustworthiness of AI systems, it is essential to have precise methods to determine what or who is to account for the behaviour, or the outcome, of AI systems. The assignment of responsibility to an AI system is closely related to the identification of individuals or elements that have caused the outcome of the AI system. In this work, we present an overview of approaches that aim at modelling responsibility of AI systems, discuss their advantages and shortcomings to deal with various aspects of the notion of responsibility, and present research gaps and ways forward.
Actual responsibility, Responsibility modelling, Responsibility of AI systems, Trustworthy autonomous systems
1435-5655
Dastani, Mehdi
44cecb91-95c6-4821-a307-c43e9434ea4a
Yazdanpanah, Vahid
28f82058-5e51-4f56-be14-191ab5767d56
Dastani, Mehdi
44cecb91-95c6-4821-a307-c43e9434ea4a
Yazdanpanah, Vahid
28f82058-5e51-4f56-be14-191ab5767d56

Dastani, Mehdi and Yazdanpanah, Vahid (2022) Responsibility of AI systems. AI & Society. (doi:10.1007/s00146-022-01481-4).

Record type: Article

Abstract

To support the trustworthiness of AI systems, it is essential to have precise methods to determine what or who is to account for the behaviour, or the outcome, of AI systems. The assignment of responsibility to an AI system is closely related to the identification of individuals or elements that have caused the outcome of the AI system. In this work, we present an overview of approaches that aim at modelling responsibility of AI systems, discuss their advantages and shortcomings to deal with various aspects of the notion of responsibility, and present research gaps and ways forward.

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Responsibility of AI Systems - Accepted Manuscript
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More information

Accepted/In Press date: 16 March 2022
e-pub ahead of print date: 5 June 2022
Additional Information: Special issue on AI for People
Keywords: Actual responsibility, Responsibility modelling, Responsibility of AI systems, Trustworthy autonomous systems

Identifiers

Local EPrints ID: 455719
URI: http://eprints.soton.ac.uk/id/eprint/455719
ISSN: 1435-5655
PURE UUID: 53406c04-411f-4c58-bd58-aef3fe057446
ORCID for Vahid Yazdanpanah: ORCID iD orcid.org/0000-0002-4468-6193

Catalogue record

Date deposited: 31 Mar 2022 16:36
Last modified: 27 Jul 2022 02:01

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Contributors

Author: Mehdi Dastani
Author: Vahid Yazdanpanah ORCID iD

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