The AI for Good series is the leading United Nations platform for dialogue on AI. The 2nd AI for Good Global Summit was organized by ITU in Geneva on 15-17 May 2018, in partnership with XPRIZE Foundation, the Association for Computing Machinery (ACM) and sister United Nations agencies. A joint CSER/CFI team led one of the Summit's four 'Tracks', on Trust in AI.
Track 4: Trust in AI
Artificial intelligence (AI) has the potential to dramatically accelerate the pace at which the United Nations’ Sustainable Development Goals (SDGs) can be achieved. Maximising AI’s potential for good will strongly depend on building trust in AI, in several dimensions. This track will focus on three dimensions of trust. Developers of AI solutions must earn the trust of communities to which such solutions are offered. AI developers and others working for beneficial AI must trust each other, across cultural, national and corporate boundaries. And AI systems themselves must be demonstrably trustworthy.
This track explored these three dimensions of trust under three Themes:
- Building trust for beneficial AI – stakeholder communities
- Building trust for beneficial AI – developer communities
- Building trust for beneficial AI – trustworthy systems
Three projects were presented under each Theme. Participants were invited to refine the projects, to propose potential research, impact, and funding partners, and to join projects as collaborators.
Team Lead: Huw Price, Francesca Rossi, Zoubin Ghahramani, Claire Craig
Members: Stephen Cave, Kanta Dihal, Adrian Weller, Seán Ó hÉigeartaigh, Jess Whittlestone, Charlotte Stix, Susan Gowans, Jessica Montgomery
Theme Managers: Ezinne Nwankwo, Yang Liu, Jess Montgomery
Meet the team: Trustfactory.ai
