
Data Access and AI Explainability
Frank Pasquale(Author)
Cambridge University Press
Published on 2. October 2025
Book
Hardback
84 pages
978-1-009-62736-8 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Cambridge
United Kingdom
Illustrations
Worked examples or Exercises
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 9 mm
Weight
286 gr
ISBN-13
978-1-009-62736-8 (9781009627368)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
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Frank Pasquale
Data Access and AI Explainability
Book
10/2025
Cambridge University Press
€26.60
Shipment within 15-20 days
Person
Content
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.