Privacy, Data Protection and Data-driven Technologies

Preface by Wojciech Wiewiorowski

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