Trustworthy human-AI partnerships
Trustworthy human-AI partnerships
In this paper, we foreground some of the key research challenges that arise in the design of trustworthy human-AI partnerships. In particular, we focus on the challenges in designing human-AI partnerships that need to be addressed to help humans and organisations trust their machine counterparts individually or as a collective (e.g., as robot teams or groups of software agents). We also aim to identify the risks associated with human-AI partnerships and therefore determine the associated measures to mitigate these risks. By so doing, we will trigger new avenues of research that will address the key barriers to the adoption of AI-based systems more widely in our daily lives and in industry.
Artificial intelligence, Human-computer interaction, Sociology
Ramchurn, Sarvapali
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Stein, Sebastian
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Jennings, Nicholas R.
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20 August 2021
Ramchurn, Sarvapali
1d62ae2a-a498-444e-912d-a6082d3aaea3
Stein, Sebastian
cb2325e7-5e63-475e-8a69-9db2dfbdb00b
Jennings, Nicholas R.
3f6b53c2-4b6d-4b9d-bb51-774898f6f136
Ramchurn, Sarvapali, Stein, Sebastian and Jennings, Nicholas R.
(2021)
Trustworthy human-AI partnerships.
iScience, 24 (8), [102891].
(doi:10.1016/j.isci.2021.102891).
Abstract
In this paper, we foreground some of the key research challenges that arise in the design of trustworthy human-AI partnerships. In particular, we focus on the challenges in designing human-AI partnerships that need to be addressed to help humans and organisations trust their machine counterparts individually or as a collective (e.g., as robot teams or groups of software agents). We also aim to identify the risks associated with human-AI partnerships and therefore determine the associated measures to mitigate these risks. By so doing, we will trigger new avenues of research that will address the key barriers to the adoption of AI-based systems more widely in our daily lives and in industry.
Text
trustworthy human-ai partnerships
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More information
Accepted/In Press date: 24 July 2021
Published date: 20 August 2021
Keywords:
Artificial intelligence, Human-computer interaction, Sociology
Identifiers
Local EPrints ID: 450597
URI: http://eprints.soton.ac.uk/id/eprint/450597
ISSN: 2589-0042
PURE UUID: 0977ee56-d087-47e2-8695-75c7b95a3a4b
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Date deposited: 04 Aug 2021 16:36
Last modified: 17 Mar 2024 03:13
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Contributors
Author:
Sarvapali Ramchurn
Author:
Sebastian Stein
Author:
Nicholas R. Jennings
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