Handbook on the politics and governance of big data and artificial intelligence: Implications for humans and technology in the 21st century and beyond

Joshua C. Gellers, David J. Gunkel

Research output: Chapter or Contribution to BookChapterpeer-review

Abstract

Drawing on the theoretical debates, practical applications, and sectoral approaches in the field, this ground-breaking Handbook unpacks the political and regulatory developments in AI and big data governance. Covering the political implications of big data and AI on international relations, as well as emerging initiatives for legal regulation, it provides an accessible overview of ongoing data science discourses in politics, law and governance. With novel insights into existing and emerging debates, this cutting-edge Handbook highlights the mutual effects of big data and AI on society. Amongst other theoretical and sectoral issues, chapters analyse the liability of AI use in autonomous weapons, the role of big data in healthcare and education, the intersections between AI and gender in human rights law, and the ethics of public facial-recognition technology. Addressing the many open questions and future regulatory problems, it uses data science to investigate the dynamics between the technical aspects, societal dynamics and governance implications of big data and AI. Transdisciplinary in scope, this Handbook will be invaluable to students and researchers across the fields of politics, law, governance and data science, alongside policymakers concerned with the regulation and governance of AI and big data in public and private institutions.
Original languageEnglish
Title of host publicationHandbook on the Politics and Governance of Big Data and Artificial Intelligence
Pages430-455
Number of pages520
ISBN (Electronic)9781800887374
DOIs
StatePublished - Jun 13 2023

ASJC Scopus Subject Areas

  • General Social Sciences
  • General Business,Management and Accounting
  • Economics, Econometrics and Finance(all)

Keywords

  • AI
  • Artificial intelligence
  • Big data
  • Governance

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