A Review of Trust in Artificial Intelligence: Challenges, Vulnerabilities and Future Directions

Date
2021-01-05
Authors
Lockey, Steven
Gillespie, Nicole
Holm, Daniel
Someh, Ida Asadi
Journal Title
Journal ISSN
Volume Title
Publisher
Volume
Number/Issue
Starting Page
5463
Ending Page
Alternative Title
Abstract
Artificial Intelligence (AI) can benefit society, but it is also fraught with risks. Societal adoption of AI is recognized to depend on stakeholder trust in AI, yet the literature on trust in AI is fragmented, and little is known about the vulnerabilities faced by different stakeholders, making it is difficult to draw on this evidence-base to inform practice and policy. We undertake a literature review to take stock of what is known about the antecedents of trust in AI, and organize our findings around five trust challenges unique to or exacerbated by AI. Further, we develop a concept matrix identifying the key vulnerabilities to stakeholders raised by each of the challenges, and propose a multi-stakeholder approach to future research.
Description
Keywords
Advances in Trust Research: Artificial Intelligence in Organizations, artificial intelligence, review, stakeholders, trust, vulnerabilities
Citation
Extent
10 pages
Format
Geographic Location
Time Period
Related To
Proceedings of the 54th Hawaii International Conference on System Sciences
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Rights Holder
Email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.