GDPR: Personal Data Protection in the European Union
Gebonden Nederlands 2021 1e druk 9789403532721Samenvatting
GDPR for AI is an important book asserting 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 artificial intelligence (AI). A global consensus is coalescing around the imperative that AI must develop in line with humanistic values, particularly by ensuring the technology remains ‘trustworthy’. This book 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.
What’s in this book:
Focusing on ‘protection by design’, the book’s systematic presentation encompasses the following:
- comprehensive framework for AI systems aligned with GDPR principles, including data protection by design (Article 25) and data protection impact assessment (Article 35) methodologies;
- in-depth analysis of key GDPR requirements specifically contextualised for AI applications;
- 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; and
- specific application of automated decision-making and profiling provisions (Article 22 GDPR) to AI systems.
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.
How this will help you:
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.
Specificaties
Lezersrecensies
Inhoudsopgave
Introduction
CHAPTER 1
Trustworthy Artificial Intelligence
CHAPTER 2
Fundamental Requirements of the General Data Protection Regulation and Their Application in the Design and Implementation of Artificial Intelligence Systems Compliant with the Principles of Trustworthy Artificial Intelligence
CHAPTER 3
Operationalisation of the General Data Protection Regulation Requirements to Meet the Principles of Trustworthy Artificial Intelligence
Concluding Remarks
Table of Cases
Rubrieken
- advisering
- algemeen management
- coaching en trainen
- communicatie en media
- economie
- financieel management
- inkoop en logistiek
- internet en social media
- it-management / ict
- juridisch
- leiderschap
- marketing
- mens en maatschappij
- non-profit
- ondernemen
- organisatiekunde
- personal finance
- personeelsmanagement
- persoonlijke effectiviteit
- projectmanagement
- psychologie
- reclame en verkoop
- strategisch management
- verandermanagement
- werk en loopbaan

