Transparency is often deemed critical to enable effective real-world deployment of intelligent systems. Yet the motivations for and benefits of different types of transparency can vary significantly depending on context, and objective measurement criteria are difficult to identify. We provide a brief survey, suggesting challenges and related concerns, particularly when agents have misaligned interests. We highlight and review settings where transparency may cause harm, discussing connections across privacy, multi-agent game theory, economics, fairness and trust.
CITATION STYLE
Weller, A. (2019). Transparency: Motivations and Challenges. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11700 LNCS, pp. 23–40). Springer Verlag. https://doi.org/10.1007/978-3-030-28954-6_2
Mendeley helps you to discover research relevant for your work.