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Transparency: Motivations and Challenges

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arxiv 1708.01870 v2 pith:CH5IFQP2 submitted 2017-07-29 cs.CY

classification cs.CY
keywords transparencychallengesmotivationsacrossbenefitsbriefcauseconcerns
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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. We highlight and review settings where transparency may cause harm, discussing connections across privacy, multi-agent game theory, economics, fairness and trust.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. "Trust Junk" Leads to Unjustified Support for Highly Discriminatory Predictive Models

    cs.HC 2026-07 conditional novelty 6.0 of 10

    Accurate but irrelevant 'trust junk' in AI explanations made crowdsourced users trust and agree with a deliberately discriminatory model more.

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