Projects per year
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.
Original language | English |
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Article number | 105489 |
Number of pages | 6 |
Journal | Computer Law & Security Review |
Volume | 39 |
DOIs | |
Publication status | Published - 1 Nov 2020 |
Keywords
- Artificial intelligence
- explainable AI
- planning
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- 1 Finished
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Trust in Human-Machine Partnership
Magazzeni, D., Aplin, T., Luff, P., Parsons, S., Borgo, R., Sklar, E. & Moreau, L.
EPSRC Engineering and Physical Sciences Research Council
1/09/2018 → 30/06/2022
Project: Research