Data Access and AI Explainability

Author:   Frank Pasquale (Cornell Tech and Cornell Law School)
Publisher:   Cambridge University Press
ISBN:  

9781009627368


Pages:   84
Publication Date:   02 October 2025
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Data Access and AI Explainability


Overview

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.

Full Product Details

Author:   Frank Pasquale (Cornell Tech and Cornell Law School)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press
ISBN:  

9781009627368


ISBN 10:   1009627368
Pages:   84
Publication Date:   02 October 2025
Audience:   General/trade ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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