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.
Author(s): Andrej Zwitter, Oskar Gstrein
Series: Elgar Handbooks In Political Science
Edition: 1
Publisher: Edward Elgar Publishing
Year: 2023
Language: English
Commentary: TruePDF | TOC
Pages: 535
Tags: Governance Of Artificial Intelligence And Big Data; Autonomous Weapons; Digital Twins And Governance; Artificial Intelligence Liability; Artificial Intelligence And Big Data Ethics; Gender And Artificial Intelligence; Normative Approaches To Artificial Intelligence
Cover
Half title
Series title
Title
Copyright
Contents
Figures
Tables
Contributors
Foreword
Part I | Introduction
Introduction to the Handbook on the Politics and Governance of Big Data and Artificial Intelligence
Part II | Conceptual Perspectives
Chapter 1 | Can AI governance be progressive? Group interests, group privacy and abnormal justice
Chapter 2 | Big Data and the humanitarian sector: emerging trends and persistent challenges
Chapter 3 | Digital twins: potentials, ethical issues and limitations
Chapter 4 | Governing Digital Twin technology for smart and sustainable tourism: a case study in applying a documentation framework for architecture decisions
Part III | Principle-Based Approaches to the Governance of Big Data and AI
Chapter 5 | Digital transitional justice: unpacking the black box
Chapter 6 | Autonomous weaponry and IR theory: conflict and cooperation in the age of AI
Chapter 7 | Understanding emergent technology, instability and power in international political economy
Chapter 8 | Governance of AI and gender: building on International Human Rights Law and relevant regional frameworks
Part IV | Sectoral Approaches to the Governance of Big Data and AI
Chapter 9 | Better technological security solutions through human-centred design and development
Chapter 10 | On the governance of privacy-preserving systems for the web: should Privacy Sandbox be governed?
Chapter 11 | Experiments with facial recognition technologies in public spaces: in search of an EU governance framework
Chapter 12 | Big Data, AI and health data: between national, European, and international legal frameworks
Chapter 13 | Governing the ‘datafied’ school: bridging the divergence between universal education and student autonomy
Part V | Autonomous Systems, Rights and Duties
Chapter 14 | Artificial Intelligence and international human rights law: implications for humans and technology in the 21st century and beyond
Chapter 15 | Challenges posed by autonomous systems to liability regimes: finding a balance
Chapter 16 | Autonomous Weapons Systems in warfare: is Meaningful Human Control enough?
Index
