On Specifying for Trustworthiness-Reference-Cited by-同舟云学术

On Specifying for Trustworthiness

Published:2023-12-21 Issue:1 Volume:67 Page:98-109
ISSN:0001-0782
Container-title:Communications of the ACM
language:en
Short-container-title:Commun. ACM

Author:

Abeywickrama Dhaminda B.¹,Bennaceur Amel²,Chance Greg¹,Demiris Yiannis³,Kordoni Anastasia⁴,Levine Mark⁵,Moffat Luke⁵,Moreau Luc⁶,Mousavi Mohammad Reza⁶,Nuseibeh Bashar⁷,Ramamoorthy Subramanian⁸,Ringert Jan Oliver⁹,Wilson James¹,Windsor Shane¹,Eder Kerstin¹

Affiliation:

1. University of Bristol, U.K

2. Open University, U.K and Lero Ireland

3. Imperial College, London, U.K

4. Trilateral Research Ltd, U.K and Lancaster University, U.K

5. Lancaster University, U.K

6. King's College London, U.K

7. Open University, U.K. and Lero Ireland

8. University of Edinburgh, U.K

9. Bauhaus-University Weimar, Germany

Abstract

As autonomous systems increasingly become part of our lives, it is crucial to foster trust between humans and these systems, to ensure positive outcomes and mitigate harmful ones.

Funder

Royal Academy of Engineering

Engineering and Physical Sciences Research Council

Science Foundation Ireland

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Link

https://dl.acm.org/doi/pdf/10.1145/3624699

Reference44 articles.

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4. DeGrave , A.J. , Janizek , J.D. , and Lee , S . AI for radiographic COVID-19 detection selects shortcuts over signal. Nature Machine Intelligence ( 2021 ), 1--10. DeGrave, A.J., Janizek, J.D., and Lee, S. AI for radiographic COVID-19 detection selects shortcuts over signal. Nature Machine Intelligence (2021), 1--10.

5. Prediction of intent in robotics and multi-agent systems