Building Trust in Human-Machine Partnerships

Canal, Gerard, Borgo, Rita, Coles, Andrew , 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 . p. 105489. ISSN 0267-3649

Full content URL: https://doi.org/10.1016/j.clsr.2020.105489

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Building Trust in Human-Machine Partnerships
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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.

Keywords:Artificial intelligence, explainable AI, AI planning
Subjects:G Mathematical and Computer Sciences > G700 Artificial Intelligence
Divisions:College of Science > Lincoln Institute for Agri-Food Technology
ID Code:43255
Deposited On:16 Dec 2020 11:56

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