Building Trust in Human-Machine Partnerships

Gerard Canal, Rita Borgo, Andrew Coles, Archie Drake, Dong Huynh, Perry Keller, Senka Krivić, Paul Luff, Quratul-ain Mahesar, Luc Moreau, Simon Parsons, Menisha Patel, Elizabeth I Sklar

Research output: Contribution to journalArticlepeer-review


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 languageEnglish
Article number105489
Number of pages6
JournalComputer Law and Security Review
Early online date26 Oct 2020
Publication statusPublished - 1 Nov 2020


  • Artificial intelligence
  • explainable
  • planning

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