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Data Access and AI Explainability

Expected online publication date:  18 August 2025

Frank Pasquale
Affiliation:
Cornell Tech and Cornell Law School

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.
Type
Element
Information
Online ISBN: 9781009627351
Publisher: Cambridge University Press
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NC
This content is Open Access and distributed under the terms of the Creative Commons Attribution licence CC-BY-NC 4.0 https://creativecommons.org/cclicenses/

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Data Access and AI Explainability
  • Frank Pasquale, Cornell Tech and Cornell Law School
  • Online ISBN: 9781009627351
Available formats No formats are currently available for this content.
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Data Access and AI Explainability
  • Frank Pasquale, Cornell Tech and Cornell Law School
  • Online ISBN: 9781009627351
Available formats No formats are currently available for this content.
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To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Data Access and AI Explainability
  • Frank Pasquale, Cornell Tech and Cornell Law School
  • Online ISBN: 9781009627351
Available formats No formats are currently available for this content.
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