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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-- Ai Challenges For Society And Ethics / Jess Whittlestone And Sam Clarke -- Ai Governance Multi-stakeholder Convening / K. Gretchen Greene -- Governance Via Explainability / David Danks -- Power And Ai: Nature And Justification / Seth Lazar -- Transnational Digital Governance And Its Impact On Artificial Intelligence / Mark Dempsey, Keegan Mcbride, Meeri Haataja, And Joanna Bryson -- Standing Up A Regulatory Ecosystem For Governing Ai Decision-making: Principles And Components / Valerie M. Hudson -- Legal Elements Of An Ai Regulatory Permit Program / Brian Wm. Higgins -- Aligning Ai Regulation To Sociotechnical Change / Matthijs M. Maas -- Structured Access: An Emerging Paradigm For Safe Ai Deployment / Toby Shevlane -- Ai, Complexity, And Regulation / Laurin B. Weissinger -- Technological Unemployment / Daniel Susskind -- Governing Ai To Advance Shared Prosperity / Katya Klinova -- Ai And The Economic And Informational Foundations Of Democracy / Carles Boix -- Artificial Intelligence For Adjudication: The Social Security Administration And Ai Governance / Kurt Glaze, Daniel E. Ho, Gerald K. Ray, And Christine Tsang -- Artificial Intelligence In Healthcare / Nakul Aggarwal, Michael E. Matheny, Carmel Shachar, Samantha X.y. Wang, And Sonoo Thadaney-israni -- Dueling Perspectives In Ai And U.s.
This volume investigates the complex, bidirectional relationship between artificial intelligence and global governance systems, questioning how regulatory frameworks can effectively manage the rapid evolution of machine learning technologies. Edited by Justin B. Bullock and featuring contributions from a diverse array of scholars, the text synthesizes multidisciplinary research to provide a comprehensive overview of the regulatory, economic, and ethical challenges posed by AI. It establishes a structured framework for understanding how policy can shape technological development while simultaneously addressing the societal impacts of automated decision-making.
What You Will Find
Experts identify this handbook as a foundational reference for policymakers, researchers, and students navigating the intersection of technology and public administration. Readers frequently note the academic density of the prose, which provides a rigorous, high-level examination of the current state of AI regulation.
Page Count:
0
Publication Date:
2022-01-01
Publisher:
Oxford University Press,
ISBN-10:
0197579353
ISBN-13:
9780197579350
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