GDPR for AI

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GDPR for AI

A Legal Framework for Trustworthy Artificial Intelligence through Data Protection by Design

International law Arbitration, mediation and alternative dispute resolution Constitutional and administrative law: general IT and Communications law / Postal laws and regulations

Author: Dominik Lubasz

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Language: English

Published by: Kluwer Law International

Published on: 23rd June 2026

Format: LCP-protected ePub

ISBN: 9789403535227


Introduction

A global consensus is coalescing around the imperative that artificial intelligence (AI) must develop in line with humanistic values, particularly by ensuring the technology remains 'trustworthy'.

Framework and Significance

This important book asserts that the European Union's General Data Protection Regulation (GDPR), due to its wide-ranging applicability and its emphasis on safeguarding the rights and freedoms of data subjects through a technology-neutral, risk-based methodology, offers a robust framework for promoting compliance with principles of trustworthy, human-centric AI.

It is the first comprehensive examination of the real-world application of data protection principles at the AI design stage, as well as of their efficacy in achieving the European standards of protection envisioned by the Union.

Focus on Protection by Design

The book's systematic presentation encompasses the following:

    Framework for AI Systems

    Comprehensive framework for AI systems aligned with GDPR principles, including data protection by design (Article 25) and data protection impact assessment (Article 35) methodologies;

    GDPR Requirements for AI

    In-depth analysis of key GDPR requirements specifically contextualised for AI applications;

    Integration of Ethical and Legal Guidelines

    Integration of EU High-Level Expert Group (HLEG AI) guidelines on trustworthy AI with GDPR's legal requirements, demonstrating convergence between ethical and legal frameworks;

    Automated Decision-Making and Profiling

    Specific application of automated decision-making and profiling provisions (Article 22 GDPR) to AI systems.

Practical Recommendations and Future Outlook

A concluding chapter presents a wealth of incisive practical recommendations for future legislative developments and potential revisions of the GDPR in light of the technological and ethical challenges posed by AI.

Conclusion

Given that an ethical and lawful approach to AI is already not merely a choice but a necessity in building trust and stability in digital society and must constitute a fundamental design element in sustainable business models, this timely guide will help to ensure regulatory readiness for the evolving EU AI legal landscape.

It will be of inestimable value for legislators, regulators, and organisations that develop or deploy AI systems in establishing accountability and transparency from the design phase and in mitigating legal risks proactively.

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