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.

Initially, introducing compliance functions within the financial industry had been forced by regulatory scrutiny. Later, it started to spread to other regulated companies, in particular those publicly listed. Now, compliance has become an asset of corporates that want to build their reliability among clients, shareholders, employees and business partners. 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. This book looks at the vast interest in this topic among business people who strive to introduce the systems and the mechanisms of non-compliance risk management in their companies and at the uncountable difficulties and obstacles they meet. The book fills the gap of thorough analysis of this subject by pointing out the solutions successfully introduced in global financial organizations, and would be of interest to academics, researchers and practitioners in corporate finance, corporate governance and risk management.

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.

Initially, introducing compliance functions within the financial industry had been forced by regulatory scrutiny. Later, it started to spread to other regulated companies, in particular those publicly listed. Now, compliance has become an asset of corporates that want to build their reliability among clients, shareholders, employees and business partners. 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. This book looks at the vast interest in this topic among business people who strive to introduce the systems and the mechanisms of non-compliance risk management in their companies and at the uncountable difficulties and obstacles they meet. The book fills the gap of thorough analysis of this subject by pointing out the solutions successfully introduced in global financial organizations, and would be of interest to academics, researchers and practitioners in corporate finance, corporate governance and risk management.