Data access and AI explainability / Frank Pasquale.

Format:

Book

Author/Creator:

Pasquale, Frank, author.

Series:

Cambridge elements. Elements in data rights and wrongs 2976-7520

Language:

English

Subjects (All):

Data protection--Law and legislation.

Data protection.

Artificial intelligence--Law and legislation.

Artificial intelligence.

Physical Description:

1 online resource (74 pages) : digital, PDF file(s).

Edition:

1st ed.

Place of Publication:

Cambridge : Cambridge University Press, 2025.

Summary:

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.

Notes:

Title from publisher's bibliographic system (viewed on 15 Sep 2025).

ISBN:

1-009-62738-4

1-009-62740-6

1-009-62735-X

Access Restriction:

Open Access. Unrestricted online access