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The technology of Artificial Intelligence is here, and moving fast, without ethical standards in place. A Blueprint for the Regulation of Artificial Intelligence Technologies leans on classical western philosophy for its ethical grounding. Values such as conscience, rights, equity, and discrimination, establish a basis for regulatory standards. Multiple international agencies with governing interests are compared. The development of ethical standards is suggested through two new non-governmental organizations (NGOs). The first is to develop standards that evolve from practice, while the second acts as an ombudsman to settle abuse. Both NGOs are envisioned to cooperate with regulators. More than seeking a perfect solution, the book aims to balance the tension between conflicting interests, with the goal to keep this dangerously wonderful technology under global human control. For that to materialize, the technology needs to have a seat on the table of global ethics. The final chapter lists fourteen thinking points to achieve an ethics balance for new technologies.
Artificial Intelligence is here, today. How can society make the best use of it? Until recently, "artificial intelligence" sounded like something out of science fiction. But the technology of artificial intelligence, AI, is becoming increasingly common, from self-driving cars to e-commerce algorithms that seem to know what you want to buy before you do. Throughout the economy and many aspects of daily life, artificial intelligence has become the transformative technology of our time. Despite its current and potential benefits, AI is little understood by the larger public and widely feared. The rapid growth of artificial intelligence has given rise to concerns that hidden technology will create a dystopian world of increased income inequality, a total lack of privacy, and perhaps a broad threat to humanity itself. In their compelling and readable book, two experts at Brookings discuss both the opportunities and risks posed by artificial intelligence--and how near-term policy decisions could determine whether the technology leads to utopia or dystopia. Drawing on in-depth studies of major uses of AI, the authors detail how the technology actually works. They outline a policy and governance blueprint for gaining the benefits of artificial intelligence while minimizing its potential downsides. The book offers major recommendations for actions that governments, businesses, and individuals can take to promote trustworthy and responsible artificial intelligence. Their recommendations include: creation of ethical principles, strengthening government oversight, defining corporate culpability, establishment of advisory boards at federal agencies, using third-party audits to reduce biases inherent in algorithms, tightening personal privacy requirements, using insurance to mitigate exposure to AI risks, broadening decision-making about AI uses and procedures, penalizing malicious uses of new technologies, and taking pro-active steps to address how artificial intelligence affects the workforce. Turning Point is essential reading for anyone concerned about how artificial intelligence works and what can be done to ensure its benefits outweigh its harm.
This book assesses the normative and practical challenges for artificial intelligence (AI) regulation, offers comprehensive information on the laws that currently shape or restrict the design or use of AI, and develops policy recommendations for those areas in which regulation is most urgently needed. By gathering contributions from scholars who are experts in their respective fields of legal research, it demonstrates that AI regulation is not a specialized sub-discipline, but affects the entire legal system and thus concerns all lawyers. Machine learning-based technology, which lies at the heart of what is commonly referred to as AI, is increasingly being employed to make policy and business decisions with broad social impacts, and therefore runs the risk of causing wide-scale damage. At the same time, AI technology is becoming more and more complex and difficult to understand, making it harder to determine whether or not it is being used in accordance with the law. In light of this situation, even tech enthusiasts are calling for stricter regulation of AI. Legislators, too, are stepping in and have begun to pass AI laws, including the prohibition of automated decision-making systems in Article 22 of the General Data Protection Regulation, the New York City AI transparency bill, and the 2017 amendments to the German Cartel Act and German Administrative Procedure Act. While the belief that something needs to be done is widely shared, there is far less clarity about what exactly can or should be done, or what effective regulation might look like. The book is divided into two major parts, the first of which focuses on features common to most AI systems, and explores how they relate to the legal framework for data-driven technologies, which already exists in the form of (national and supra-national) constitutional law, EU data protection and competition law, and anti-discrimination law. In the second part, the book examines in detail a number of relevant sectors in which AI is increasingly shaping decision-making processes, ranging from the notorious social media and the legal, financial and healthcare industries, to fields like law enforcement and tax law, in which we can observe how regulation by AI is becoming a reality.
Exploring issues from big-data to robotics, this volume is the first to comprehensively examine the regulatory implications of AI technology.
This book uses case analyses and industry insights and blends them with forays into philosophy and ethics to conceptualise the mismatch between human values and the values inherent in an increasingly technologized world. Bringing together contributors from the disciplines of law, politics, philosophy, and communication studies, this volume develops an interdisciplinary vocabulary for thinking about the questions and antinomies of human-technology interaction while also resisting any deceptively straightforward synthesis. The topics discussed include the competition over and regulation of technology, the harm induced by autonomous technologies, and the place and role of humans in a world that is undergoing rapid and radical change.
The smart city movement, during the last decade and a half, advocated the built environment and digital technology convergence with the backing of institutional capital and government support. The commitment of a significant number of local governments across the globe, in terms of official smart city policies and initiatives, along with the constant push of global technology giants, has reinforced the popularity of this movement. This two-volume treatment on smart cities thoroughly explores and sheds light on the prominent elements of the smart city phenomenon and generates a smart city blueprint. This first volume, with its 12 chapters, provides a sound understanding on the key foundations and growth directions of smart city frameworks, technologies, and platforms, with theoretical expansions, practical implications, and real-world case study lessons. The second companion volume offers sophisticated perspectives on the key foundations and directions of smart city policies, communities, and urban futures, with theoretical expansions, practical implications, and real-world case study lessons. This book is an invaluable reference source for urban policymakers, managers, planners, practitioners, and many others, particularly to benefit from it when tackling key urban and societal issues and planning for and delivering smart city solutions. Moreover, the book is also a rich and important repository for scholars and research and undergraduate students as it communicates the complex smart city phenomenon in an easy to digest form, by providing both the big picture view and specifics of each component of that view. It also appeals to local government agencies and smart city practitioners.
Voyage : Artificial Intelligence (AI) is now at the heart of a cognitive revolution, an irresistible force that is redefining what it means to be intelligent. Long confined to futuristic dreams and dystopian fiction, AI has crossed a once-unimaginable threshold, challenging our understanding of intelligence, creativity, and emotion. Domains once reserved for the human mind, such as art and humor, are now the province of machines that not only emulate but surpass our cognitive abilities. This emergence challenges our ontological supremacy and pushes us toward the last stronghold of human uniqueness: consciousness. Author : Thibault Verbiest is an international lawyer. He has always dedicated himself to the interactions between law, finance, and technology. He is an adjunct professor at Skema Business School (Paris) and the author of numerous works, including two science fiction novels. Foreword by : Nassim Haramein is a 35-year veteran physicist working on one of the most complex and difficult problems in physics — Unification Theory (the unification of General Relativity and Quantum Mechanics). These studies led to a groundbreaking theory published in scientific papers, and subsequent numerous patented inventions.