Data Access and AI Explainability

Frank Pasquale (Cornell Tech and Cornell Law School)

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Hardback

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English

Cambridge University Press
02 October 2025

IT & Communications law; Impact of science & technology on society; Ethical & social aspects of computing; Privacy & data protection; Artificial intelligence

Series: Elements in Data Rights and Wrongs

As managers digitize judgment using AI, their evaluations of persons risk imposing benefits and burdens in opaque and unaccountable ways. A wide range of harms may occur when access to one's personal data (and meaningful information about its use) is denied. Key data access rights and AI explainability guarantees in US. and EU law are designed to ameliorate the harms caused by irresponsible digitization, but their definition and range of application is contested. A robust policy evaluation framework will be needed to inform the proper level and scope of information access, as regulators clarify the contours of such rights and guarantees. By revealing the stakes of data access, this Element offers a useful evaluative framework for those interpreting and applying laws of data protection and AI explainability. This title is also available as Open Access on Cambridge Core.

By: Frank Pasquale (Cornell Tech and Cornell Law School)
Imprint: Cambridge University Press
Country of Publication: United Kingdom
Dimensions: Height: 229mm, Width: 152mm, Spine: 6mm
Weight: 259g
ISBN: 9781009627368
ISBN 10: 1009627368
Series: Elements in Data Rights and Wrongs
Pages: 84
Publication Date: 02 October 2025
Audience: General/trade , ELT Advanced
Format: Hardback
Publisher's Status: Active

1. Introduction; 2. Uses and Misuses of Data; 3. The Growth and Contested Scope of Access Rights Initiatives; 4. The Future of Information Access Rights: Empowering Civil Society and Social Reform; 5. Conclusion: Increasing the Dimensionality of Policy Evaluation with Respect to Data Protection.