Book contents
- Combatting the Code
- Combatting the Code
- Copyright page
- Contents
- Acknowledgments
- Part I Automation and the Administrative State
- Part II Legal Controls
- 3 Legal Frameworks
- 4 Rationality
- 5 Anti-discrimination
- 6 Public Sector Privacy and Data Protection
- 7 Freedom of Information
- Part III Political and Managerial Controls
- Index
6 - Public Sector Privacy and Data Protection
from Part II - Legal Controls
Published online by Cambridge University Press: 26 March 2025
- Combatting the Code
- Combatting the Code
- Copyright page
- Contents
- Acknowledgments
- Part I Automation and the Administrative State
- Part II Legal Controls
- 3 Legal Frameworks
- 4 Rationality
- 5 Anti-discrimination
- 6 Public Sector Privacy and Data Protection
- 7 Freedom of Information
- Part III Political and Managerial Controls
- Index
Summary
This chapter scrutinizes the operation of public sector privacy and data protection laws in relation to AI data in the United States, the United Kingdom and Australia, to assess the potential for utilizing these laws to challenge automated government decision-making. Government decision-making in individual cases will almost inevitably involve the collection, use, or storage of personal information, and may also involve drawing inferences from data already collected. At the same time increased usage of automated decision-making encourages the large-scale collection and mining of personal data. Privacy and data protection laws provide a useful chokepoint for limiting discrimination and other harms that arise from misuses of personal information.
Keywords
- Type
- Chapter
- Information
- Combatting the CodeRegulating Automated Government Decision-Making in Comparative Context, pp. 96 - 127Publisher: Cambridge University PressPrint publication year: 2025