18 January 2021 - Gideon Ogunniye

Speaker: Gideon Ogunniye

Title: Building and Rebuilding Trust in Algorithmic Systems

Abstract:

The rising prevalence of algorithmic systems such as e-recruitment systems raises new questions and concerns about fairness, accountability, transparency and trust. There is a widespread lack of faith in these systems due to their perceived lack of transparency and accountability. These attitudes can be critical bottlenecks for the uptake of such systems in critical decision-making scenarios. In AI, explanations are seen as a common approach to increase users' understanding of how algorithmic systems work and to engender trust in them.  In this talk, I will present our work in (ReEnTrust – Rebuilding and Enhancing Trust in Algorithms) project on users’ perceptions of algorithmic systems and the role of explanations in trust building and trust repair. Our findings show that explanations provide a helpful foundation for participants to make sense of algorithms; however, explanations alone are not sufficient to overcome negative attitudes and engender trust. We identify important factors that extend our understanding of explanations and algorithmic decision-making systems, and provide directions for future algorithm trust building development.

Bio: 

Gideon Ogunniye is a Research Associate at the Artificial Intelligence and its Applications Institute (AIAI), School of Informatics, University of Edinburgh, United Kingdom. At the moment, I am working on trust building AI technologies (ReEnTrust project). The project explores new technological opportunities for digital platforms to regain user trust and aims to identify how this may be achieved in ways that are user-driven and responsible. The focus of the project is on AI algorithms and large scale platforms used by the general public.