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The Oxford Handbook of AI Governance
"Book abstract: The Oxford Handbook of AI Governance examines how artificial intelligence (AI) interacts with and influences governance systems. It also examines how governance systems influence and interact with AI. The handbook spans forty-nine chapters across nine major sections. These sections are (1) Introduction and Overview, (2) Value Foundations of AI Governance, (3) Developing an AI Governance Regulatory Ecosystem, (4) Frameworks and Approaches for AI Governance, (5) Assessment and Implementation of AI Governance, (6) AI Governance from the Ground Up, (7) Economic Dimensions of AI Governance, (8) Domestic Policy Applications of AI, and (9) International Politics and AI"--
Privacy
An incisive compendium of philosophical literature on privacy, part of the acclaimed Wiley-Blackwell Readings in Philosophy series Companies collect and share much of your daily life, from your location and search history, to your likes, habits, and relationships. As more and more of our personal data is collected, analyzed, and distributed, we need to think carefully about what we might be losing when we give up our privacy. Privacy is a thought-provoking collection of philosophical essays on privacy, offering deep insights into the nature of privacy, its value, and the consequences of its loss. Bringing together both classic and contemporary work, this timely volume explores the theories, ...
The Government Analytics Handbook
The Government Analytics Handbook presents frontier evidence and practitioner insights on how to leverage data to strengthen public administration. Covering a range of microdata sources—such as administrative data and public servant surveys—as well as tools and resources for undertaking the analytics, it transforms the ability of governments to take a data-informed approach to diagnose and improve how public organizations work. Readers can order the book as a single volume in print or digital formats, or visit worldbank.org/governmentanalytics for modular access and additional hands-on tools. The Handbook is a must-have for practitioners, policy makers, academics, and government agencies...
The Economic Impacts and the Regulation of AI: A Review of the Academic Literature and Policy Actions
We review the literature on the effects of Artificial Intelligence (AI) adoption and the ongoing regulatory efforts concerning this technology. Economic research encompasses growth, employment, productivity, and income inequality effects, while regulation covers market competition, data privacy, copyright, national security, ethics concerns, and financial stability. We find that: (i) theoretical research agrees that AI will affect most occupations and transform growth, but empirical findings are inconclusive on employment and productivity effects; (ii) regulation has focused primarily on topics not explored by the academic literature; (iii) across countries, regulations differ widely in scope and approaches and face difficult trade-offs.
Comparative Public Management
While the field of public management has become increasingly international, research and policy recommendations that work for one country often do not work for another. Why, for example, is managerial networking important in the United States, moderately effective in the United Kingdom, and of little consequence in the Netherlands? Comparative Public Management argues that scholars must find a better way to account for political, environmental, and organizational contexts to build a more general model of public management. The volume editors propose a framework in which context influences the types of managerial actions that can be used effectively in public organizations. After introducing ...
Artificial Intelligence in Finance
This book provides a comprehensive analysis of the primary challenges, opportunities and regulatory developments associated with the use of artificial intelligence (AI) in the financial sector. It will show that, while AI has the potential to promote a more inclusive and competitive financial system, the increasing use of AI may bring certain risks and regulatory challenges that need to be addressed by regulators and policymakers.
Reclaiming the Public
Develops a political theory of the public and of political authority and elaborates the theory's legal and institutional implications.
Handbook of Regulatory Authorities
Featuring a comprehensive analytical collection of interdisciplinary research on regulatory authorities, this innovative Handbook combines contributions from leading scholars and regulatory practitioners to present the fundamental theoretical concepts, empirical achievements and challenges in the contemporary study of regulatory authorities.
Building a God
Renowned ethicist provides essential guide to successfully navigating the future AI landscape In Building a God, Christopher DiCarlo explores the profound implications of artificial intelligence surpassing human intelligence—a destiny that seems not just possible, but inevitable. At this critical crossroad in our evolutionary history, DiCarlo, a renowned ethicist in AI, delves into the ethical mazes and technological quandaries of our future interactions with superior AI entities. From healthcare enhancements to the risks of digital manipulation, this book scrutinizes AI’s dual potential to elevate or devastate humanity. DiCarlo advocates for robust global governance of AI, proposing vis...
From Trustworthy AI Principles to Public Procurement Practices
This book is an early warning to public officials, policymakers, and procurement practitioners on the impact of AI on the public sector. Many governments have established national AI strategies and set ambitious goals to incorporate AI into the public infrastructure, while lacking AI-specific procurement guidelines. AI is not traditional software, and traditional processes are not sufficient to meet the challenges AI brings. Today’s decisions to embed AI and algorithmic systems into public system infrastructure can – and will – have serious repercussions in the future. The promise of AI systems is to make the public sector more efficient, effective, fair, and sustainable. However, AI s...
