Understanding AI Trustworthiness: A Scoping Review of AIES & FAccT Articles
Maarten de Rijke (M.deRijke@uva.nl)
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Abstract
Background: Trustworthy AI serves as a foundational pillar for two major AI ethics conferences: AIES and FAccT. Current research often adopts techno-centric approaches, focusing primarily on technical attributes such as accuracy, reliability, robustness, and fairness, while overlooking the sociotechnical dimensions critical to understanding AI trustworthiness in real-world contexts.
Objectives: This scoping review aims to examine how the AIES and FAccT communities..