Regulating Artificial Intelligence Binary Ethics and the Law

Regulating Artificial Intelligence Binary Ethics and the Law by Dominika Ewa Harasimiuk, published by Routledge in 2021, is a comprehensive examination of the regulatory landscape surrounding artificial intelligence. This 188-page book delves into the potential scenarios of AI regulation aimed at safeguarding individual human rights and social values. It reviews current debates on AI regulation, particularly focusing on the European Union’s regulatory frameworks and the comprehensive policymaking processes at the supranational level.
Readers will find a detailed analysis of the ethical considerations and human-centric approaches that underpin future laws in the field of artificial intelligence. The book explores the relationship between fundamental rights and the ethical standards governing AI, including a critical look at the EU’s Ethical Guidelines for Trustworthy AI. By identifying effective regulatory tools and examining both horizontal and sectoral approaches, this work aims to foster social trust in AI technologies while addressing the emerging risks and accountabilities associated with their development.
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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.
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