Data Protection and Privacy: Data Protection and Artificial Intelligence

✍ Scribed by Dara Hallinan; Ronald Leenes; Paul De Hert (editors)

• Publisher: Hart Publishing
• Year: 2021
• Tongue: English
• Leaves: 279
• Series: Computers, Privacy and Data Protection
• Category: Library

✦ Synopsis

This book brings together papers that offer conceptual analyses, highlight issues, propose solutions, and discuss practices regarding privacy, data protection and Artificial Intelligence. It is one of the results of the thirteenth annual International Conference on Computers, Privacy and Data Protection (CPDP) held in Brussels in January 2020.
The development and deployment of Artificial Intelligence promises significant breakthroughs in how humans use data and information to understand and interact with the world. The technology, however, also raises significant concerns. In particular, concerns are raised as to how Artificial Intelligence will impact fundamental rights.
This interdisciplinary book has been written at a time when the scale and impact of data processing on society – on individuals as well as on social systems – is becoming ever starker. It discusses open issues as well as daring and prospective approaches and is an insightful resource for readers with an interest in computers, privacy and data protection.

✦ Table of Contents

Preface
Contents
List of Contributors
1. Don't accept candy from strangers: an analysis of third-Party mobile SDKs
I. Introduction
II. Background
III. Methods for Detecting the Presence of Third-Party Services
IV. Comparison of Sdk Analysis Tools
V. Mitigating the Privacy Risks of SDKs
VI. Conclusion
Acknowledgements
References
2. AI and the Right to Explanation: Three Legal Bases under the GDPR
I. Introduction
II. References within the GDPR
III. Finding a legal basis for the right to explanation under the GDPR
IV. Conclusion
Acknowledgements
References
3. A Comparison of Data Protection Regulations for Automotive Systems
I. Introduction
II. The System Model
III. Data Protection Frameworks in Major Markets
IV. Comparison and Synthesis
V. Summary and Recommendations
VI. Further Consideration
VII. Conclusion
Acknowledgements
References
4. Misaligned Union laws? A comparative analysis of certification in the Cybersecurity Act and the General Data Protection Regulation
I. Introduction
II. The European Cybersecurity certification framework in the Cybersecurity Act
III. The Data Protection Certification Mechanisms in the General Data Protection Regulation
IV. Divergence
V. Convergence
VI. Discussion
VII. Conclusion
Acknowledgments
References
5. Aggregation, synthesisation and anonymisation: a call for a risk-based assessment of anonymisation approaches
I. Introduction
II. How to unpack the inference model
III. How to conceptualise aggregation and synthesisation
IV. How to assess aggregation outputs
V. How to compare anonymisation controls
VI. How to Inform Legal Interpretation
VII. Conclusion
Acknowledgements
References
6. The Role of the EU Fundamental Right to Data Protection in an Algorithmic and Big Data World
I. Introduction
II. Data Protection as a Distinct Fundamental Right under The Eu Legal Order and the Cjeu Case Law
III. Re-conceptualising the substance and the 'Essence' of the Right to Data Protection as a Power Control and Precautionary Instrumental Right
IV. Conclusion
Acknowledgements
References
7. Implementing AI in Healthcare: An Ethical and Legal Analysis Based on Case Studies
I. Introduction
II. Emerging AI technologies in Healthcare
III. Ethical, Legal, and Societal Issues
IV. A Proactive Forward Look
V. Conclusion
Acknowledgements
References
8. Technological Experimentation Without Adequate Safeguards? Interoperable EU Databases and Access to the Multiple Identity Detector by SIRENE Bureaux
I. Introduction
II. The MID in a Nutshell: Rationale, Types of Links and Access Conditions
III. Access to the MID by SIRENE Bureaux: Necessity and Proportionality Aspects
IV. Conclusion
Acknowledgements
References
Closing Remarks
Index