Tomasz Braun - Böcker

Exploring potential scenarios of artificial intelligence regulation which prevent automated reality harming individual human rights or social values, this book reviews current debates surrounding AI regulation in the context of the emerging risks and accountabilities. Considering varying regulatory methodologies, it focuses mostly on EU’s regulation in light of the comprehensive policy making process taking place at the supranational level.Taking an ethics and humancentric approach towards artificial intelligence as the bedrock of future laws in this field, it analyses the relations between fundamental rights impacted by the development of artificial intelligence and ethical standards governing it. It contains a detailed and critical analysis of the EU’s Ethic Guidelines for Trustworthy AI, pointing at its practical applicability by the interested parties. Attempting to identify the most transparent and efficient regulatory tools that can assure social trust towards AI technologies, the book provides an overview of horizontal and sectoral regulatory approaches, as well as legally binding measures stemming from industries’ self-regulations and internal policies.

Exploring potential scenarios of artificial intelligence regulation which prevent automated reality harming individual human rights or social values, this book reviews current debates surrounding AI regulation in the context of the emerging risks and accountabilities. Considering varying regulatory methodologies, it focuses mostly on EU’s regulation in light of the comprehensive policy making process taking place at the supranational level.Taking an ethics and humancentric approach towards artificial intelligence as the bedrock of future laws in this field, it analyses the relations between fundamental rights impacted by the development of artificial intelligence and ethical standards governing it. It contains a detailed and critical analysis of the EU’s Ethic Guidelines for Trustworthy AI, pointing at its practical applicability by the interested parties. Attempting to identify the most transparent and efficient regulatory tools that can assure social trust towards AI technologies, the book provides an overview of horizontal and sectoral regulatory approaches, as well as legally binding measures stemming from industries’ self-regulations and internal policies.

This book investigates the complex ethical dilemmas underpinning AI regulation, analysing the EU Artificial Intelligence Act in the context of the fundamental values and ambitious expectations that have accompanied it initially.This book posits a pioneering regulatory framework to ensure the ethical development and equitable deployment of AI technologies for societal benefit. The expanding integration of AI and its deepening interaction with humans raise profound ethical dilemmas. As legislators endeavour to address these rapid developments and ensure AI serves the public good and does not cause harm, this book discusses the ethical complexities which pose a significant challenge for the EU and beyond. The book posits the discussion on AI regulation in a broader global background and refers to human agency, trustworthiness, risk classifications, the attribution of liability for deficiencies arising from its improper implementation, and other problems that the AI-based systems may cause. Additionally, it seeks to familiarise the reader with the AI Act and critically expands on the burdens the new law may impose on subjects.This book will be of interest to researchers, policymakers, students and practitioners with an interest in the legal and ethical dimensions of technology law, governance, EU law, and artificial intelligence.The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC BY-NC-ND) 4.0 license.

This book looks at the efficiency of the compliance measures introduced and the best practices of building compliance norms.This recently observed practice of compliance was triggered by the expectation of regulators, shareholders, clients, business partners and the public for robust compliance mechanisms.