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New Arrival The Oxford Handbook of AI Governance

The Oxford Handbook of AI Governance

  • 作者:
  • 出版商: Oxford University Press
  • ISBN: 9780197579329
  • 出版时间 October 2024
  • 规格: Hardback , 1096 pages
  • 适应领域: China, Hong Kong, International, U.K. ? 免责申明:
    Countri(es) stated herein are used as reference only

List Price: ¥1,674.38

¥1,624.14 Save ¥50.23 (3%)

发货时间:大约 7-9 weeks
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Hong Kong: free delivery (order over HKD 1000)
  • 描述 
  • 大纲 
  • 详细

    As the capabilities of Artificial Intelligence (AI) have increased over recent years, so have the challenges of how to govern its usage. Consequently, prominent stakeholders across academia, government, industry, and civil society have called for states to devise and deploy principles, innovative policies, and best practices to regulate and oversee these increasingly powerful AI tools. Developing a robust AI governance system requires extensive collective efforts throughout the world. It also raises old questions of politics, democracy, and administration, but with the new challenges posed by AI's growing influence on markets, governing structures, international relations, healthcare, science, and political activism.

    The Oxford Handbook of AI Governance delineates the scope of these issues and addresses the key questions of AI governance. Across forty-nine chapters, organized in nine major sections, the Handbook covers the theoretical and ethical foundations of AI governance, different frameworks for developing a governance structure for AI, practical perspectives on AI governance in different policy domains, economic analyses of AI governance, and concrete lessons about the impact of AI governance domestically and internationally. Chapter authors come from a wide set of disciplines, areas of study, and cultural backgrounds, providing a global perspective on AI governance.

  • Introduction to The Oxford Handbook of AI Governance:
    Justin B. Bullock, Yu-Che Chen, Johannes Himmelreich, Valerie M. Hudson, Anton Korinek, Matthew M. Young, and Baobao Zhang

    I.
    Section 1: Introduction and Overview
    Justin B. Bullock
    1:AI Governance: Overview and Theoretical Lenses
    Allan Dafoe
    2:AI Challenges for Society and Ethics
    Jess Whittlestone and Sam Clarke
    3:Aligned with Whom? Direct and Social Goals for AI Systems
    Anton Korinek and Avital Balwit
    4:The Impact of Artificial Intelligence: A Historical Perspective
    Ben Garfinkel
    5:AI Governance Multi-Stakeholder Convening
    K. Gretchen Greene

    II.
    Section 2: Value Foundations of AI Governance
    Johannes Himmelreich
    6:Fairness
    Kate Vredenburgh
    7:Governing Privacy
    Carissa Veliz
    8:The Concept of Accountability in AI Ethics and Governance
    Theodore M. Lechterman
    9:Governance via Explainability
    David Danks
    10:Power and AI: Nature and Justification
    Seth Lazar
    11:AI and Structural Injustice: Foundations for Equity, Values, and Responsibility
    Johannes Himmelreich and Désirée Lim
    12:Beyond Justice: Artificial Intelligence and the Value of Community
    Juri Viehoff

    III.
    Section 3: Developing an AI Governance Regulatory Ecosystem
    Valerie M. Hudson
    13:Transnational Digital Governance and Its Impact on Artificial Intelligence
    Mark Dempsey, Keegan McBride, Meeri Haataja, and Joanna J. Bryson
    14:Standing Up a Regulatory Ecosystem for Governing AI Decision Making: Principles and Components
    Valerie M. Hudson
    15:Legal Elements of an AI Regulatory Permit Program
    Brian Wm. Higgins
    16:AI Loyalty by Design: A Framework for Governance of AI
    Anthony Aguirre, Peter B. Reiner, Harry Surden, and Gaia Dempsey
    17:Information Markets and AI Development
    Jack Clark
    18:Aligning AI Regulation to Sociotechnical Change
    Matthijs M. Maas

    IV.
    Section 4: Frameworks and Approaches for AI Governance
    Yu-Che Chen and Matthew M. Young
    19:The Challenge of AI Governance for Public Organizations
    Justin B. Bullock, Hsini Huang, Kyoung-Cheol Kim, and Matthew M. Young
    20:An Ecosystem Framework of AI Governance
    Bernd W. Wirtz, Paul F. Langer, and Jan C. Weyerer
    21:Governing AI Systems for Public Values: Design Principles and a Process Framework
    Yu-Che Chen and Michael Ahn
    22:System Safety and Artificial Intelligence
    Roel I. J. Dobbe

    V.
    Section 5: Assessment and Implementation of AI Governance
    Matthew M. Young and Yu-Che Chen
    23:Assessing AI-Automated Administration
    Cary Coglianese and Alicia Lai
    24:Transparency's Role in AI Governance
    Alex Ingrams and Bram Klievink
    25:The Anatomy of AI Audits: Form, Process, and Consequences
    Inioluwa Deborah Raji
    26:Mitigating Algorithmic Biases through Incentive-Based Rating Systems
    Nicol Turner Lee
    27:Role and Governance of Artificial Intelligence in Public Policy Cycle
    David Valle-Cruz and Rodrigo Sandoval-Almazán

    VI.
    Section 6: AI Governance from the Ground Up (Views from the Public, Impacted Communities, and Activists within the Tech Community)
    Baobao Zhang
    28:Public Opinion Toward Artificial Intelligence
    Baobao Zhang
    29:Adding Complexity to Advance AI Organizational Governance Models
    Jasmine McNealy
    30:The Role of Workers in AI Ethics and Governance
    Nataliya Nedzhvetskaya and JS Tan
    31:Structured Access: An Emerging Paradigm for Safe AI Deployment
    Toby Shevlane
    32:AI, Complexity, and Regulation
    Laurin B. Weissinger

    VII.
    Section 7: Economic Dimensions of AI Governance
    Anton Korinek
    33:Technological Unemployment
    Daniel Susskind
    34:Harms of AI
    Daron Acemoglu
    35:AI and the Economic and Informational Foundations of Democracy
    Carles Boix
    36:Governing AI to Advance Shared Prosperity
    Katya Klinova
    37:Preparing for the (Non-Existent?) Future of Work
    Anton Korinek and Megan Juelfs

    VIII.
    Section 8: Domestic Policy Applications of AI
    Johannes Himmelreich
    38:Artificial Intelligence for Adjudication: The Social Security Administration and AI Governance
    Kurt Glaze, Daniel E. Ho, Gerald K. Ray, and Christine Tsang
    39:Watching the Watchtower: A Surveillance AI Analysis and Framework
    Stephen Caines
    40:Smart City Technologies: A Political Economy Introduction to Their Governance Challenges
    Beatriz Botero Arcila
    41:Artificial Intelligence in Health Care
    Nakul Aggarwal, Michael E. Matheny, Carmel Shachar, Samantha Wang, and Sonoo Thadaney-Israni
    42:AI, Fintech, and the Evolving Regulation of Consumer Financial Privacy
    Nikita Aggarwal

    IX.
    Section 9: International Politics and AI Governance
    Justin B. Bullock
    43:Dueling Perspectives in AI and U.S.-China Relations: Technonationalism vs. Technoglobalism
    Jeffrey Ding
    44:Mapping State Participation in Military AI Governance Discussions
    Elsa B. Kania and Justin Key Canfil
    45:AI, the International Balance of Power, and National Security Strategy
    Michael C. Horowitz, Shira Pindyck, and Casey Mahoney
    46:The Ghost of AI Governance Past, Present, and Future: AI Governance in the European Union
    Charlotte Stix
    47:AI and International Politics
    Sarah E. Kreps and Amelia C. Arsenault
    48:The Critical Roles of Global South Stakeholders in AI Governance
    Marie-Therese Png
    49:NATO's Role in Responsible AI Governance in Military Affairs
    Zoe Stanley-Lockman and Lena Trabucco

    Index

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