Accountability in AI: Promoting Greater Social Trust

This paper was developed at the request of the Government of Canada to support the G7 Multistakeholder Conference on Artificial Intelligence: Enabling the Responsible Adoption of AI on December 6, 2018. Co-leads from Canada and Japan developed this paper on accountability, the intent of which is to provide a starting point for discussions on the topic of Accountability in AI: Promoting Greater Social Trust at the conference. This paper and the discussion builds on work that started at the 2016 Takamatsu ICT Ministerial Meeting and led, most recently, to the Charlevoix Common Vision for the Future of Artificial Intelligence1. This paper is organized into two sections. The first provides information on work to date in this domain and sets out various concepts and distinctions worth noting when thinking about accountability and trust in AI. The second section reports on the consultation process and discusses potential actions for different stakeholder groups for the future. Seven questions, organized under three broad headings, are proposed for framing the discussions at the conference:

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