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Trustworthy human-AI partnerships

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journal contribution
posted on 2021-11-04, 13:16 authored by Sarvapali D. Ramchurn, Sebastian Stein, Nick JenningsNick Jennings
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 organizations 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.

Funding

Wearable and Autonomous Computing for Future Smart Cities: A Platform Grant

Engineering and Physical Sciences Research Council

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UKRI Trustworthy Autonomous Systems Hub

UK Research and Innovation

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Turing AI Fellowship: Citizen-Centric AI Systems

Engineering and Physical Sciences Research Council

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History

Published in

iScience

Volume

24

Issue

8

Publisher

CELL PRESS

Version

  • VoR (Version of Record)

Publisher statement

TThis is an Open Access Article. It is published by Cell Press under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0). Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2021-07-24

Copyright date

2021

eISSN

2589-0042

Language

  • en

Depositor

Deposit date: 4 November 2021

Article number

102891

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