Canal, Gerard, Borgo, Rita, Coles, Andrew et al, Drake, Archie, Huynh, Dong, Keller, Perry, Krivić, Senka, Luff, Paul, Mahesar, Quratul-ain, Moreau, Luc, Parsons, Simon, Patel, Menisha and Sklar, Elizabeth
(2020)
Building Trust in Human-Machine Partnerships.
Computer Law & Security Review, 39
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p. 105489.
ISSN 0267-3649
Full content URL: https://doi.org/10.1016/j.clsr.2020.105489
Building Trust in Human-Machine Partnerships | Accepted Manuscript | | ![[img]](/43255/1.hassmallThumbnailVersion/THuMP_CLSR.pdf) [Download] |
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Item Type: | Article |
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Item Status: | Live Archive |
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Abstract
Artificial Intelligence (AI) is bringing radical change to our lives. Fostering trust in this technology requires the technology to be transparent, and one route to transparency is to make the decisions that are reached by AIs explainable to the humans that interact with them. This paper lays out an exploratory approach to developing explainability and trust, describing the specific technologies that we are adopting, the social and organizational context in which we are working, and some of the challenges that we are addressing.
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