Privacy, Data Protection and Data-driven Technologies by Ebers, Martin; Sein, Karin;

Rövid leírás:

This book brings together contributions from leading scholars in law and technology, analyzing the privacy issues raised by new data-driven technologies. It will be of interest to scholars, policymakers, and practitioners working in the field of law and technology, EU law and data protection.

Hosszú leírás:

This book brings together contributions from leading scholars in law and technology, analysing the privacy issues raised by new data-driven technologies.

Highlighting the challenges that technology poses to existing European Union (EU) data protection laws, the book assesses whether current legal frameworks are fit for purpose, while maintaining a balance between supporting innovation and the protection of individual’s privacy. Data privacy issues range from targeted advertising and facial recognition, systems based on artificial intelligence (AI) and blockchain, and machine-to-machine (M2M) communication, to technologies that enable the detection of emotions and personal care robots.

The book will be of interest to scholars, policymakers and practitioners working in the fields of law and technology, EU law and data protection.

Tartalomjegyzék:

Preface by Wojciech Wiewiórowski

Part I: Introduction

1. Data-driven Technologies: Challenges for Privacy and Data Protection Law

Part II: Consent, Data Protection and New Technologies

2. Dark Patterns and the Scraping Consumer Consent: Comparative Remarks on More Effective Legal Compliance

3. The Consent Service in Estonia: Enhancement of State-held Data Sharing vs Privacy Risks

4. Consent to Data Processing in Biobanking: Regulatory Challenges of Data Processing in Biobanking on the Estonian Example

Part III: M2M Communication, AI Systems and Data Protection

5. M2M Communications in 5G Networks: Data Protection and Privacy Aspects

6. Training of AI Systems: How to Comply with the GDPR?

7. Training Your Medical/Nursing Robot: From the General Data Protection Regulation to the European Health Data Space

Part IV: Blockchain, Robots, Legal Tech and Data Protection Challenges

8. Data Protection and Blockchain Technologies

9. Personal Care Robots and EU Data Protection Law

10. Legal Tech and Data Protection: Enemies or Friends?

Part V: Behavioral Advertising, Biometrics, Emotions and Data Protection

11. The Mismatch between GDPR and Behavioural Advertising: What Way Forward?

12. Beyond Procedural Fetishism: The Inadequacy of GDPR in Regulating Facial Recognition Technologies and Public Space Surveillance

13. The Privacy of Emotions: From the GDPR to the AI Act – An Overview of Emotional AI Regulation and the Protection of Privacy and Personal Data