Handbook on the Politics and Governance of Big Data and Artificial Intelligence
Edward Elgar Publishing Ltd (Verlag)
978-1-80088-736-7 (ISBN)
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.
Edited by Andrej Zwitter, Professor of Governance and Innovation and Dean of Faculty, Campus Fryslân and Oskar J. Gstrein, Programme Director of BSc Data Science and Society, Assistant Professor of Governance and Innovation, Member, Data Research Centre, Campus Fryslân, University of Groningen, the Netherlands
Contents:
Foreword xiii
PART I INTRODUCTION
Introduction to the Handbook on the Politics and Governance of Big Data and Artificial Intelligence 2
Andrej Zwitter and Oskar J. Gstrein
PART II CONCEPTUAL PERSPECTIVES
1 Can AI governance be progressive? Group interests, group privacy and abnormal justice 19
Linnet Taylor
2 Big Data and the humanitarian sector: emerging trends and persistent challenges 41
Susanne Schmuck, Andrej Zwitter and Oskar J. Gstrein
3 Digital twins: potentials, ethical issues and limitations 64
Dirk Helbing and Javier Argota Sánchez-Vaquerizo
4 Governing Digital Twin technology for smart and sustainable tourism: a case study in applying a documentation framework for architecture decisions 105
Eko Rahmadian, Daniel Feitosa and Andrej Zwitter
PART III PRINCIPLE-BASED APPROACHES TO THE GOVERNANCE OF BIG DATA AND AI
5 Digital transitional justice: unpacking the black box 139
Christopher K. Lamont and Medlir Mema
6 Autonomous weaponry and IR theory: conflict and cooperation in the age of AI 167
Amelia Hadfield and Alex Leveringhaus
7 Understanding emergent technology, instability and power in international political economy 188
Malcolm Campbell-Verduyn
8 Governance of AI and gender: building on International Human Rights Law and relevant regional frameworks 211
Elizabeth Coombs and Halefom Abraha
PART IV SECTORAL APPROACHES TO THE GOVERNANCE OF BIG DATA AND AI
9 Better technological security solutions through human-centred design and development 245
Andrew B. Wootton, Caroline L. Davey, Dagmar Heinrich and Maximilian Querbach
10 On the governance of privacy-preserving systems for the web: should Privacy Sandbox be governed? 279
Lukasz Olejnik
11 Experiments with facial recognition technologies in public spaces: in search of an EU governance framework 315
Catherine Jasserand
12 Big Data, AI and health data: between national, European, and international legal frameworks 358
Nikolaus Forgó, Emily Johnson, Iana Kazeeva and Elisabeth Steindl
13 Governing the ‘datafied’ school: bridging the divergence between universal education and student autonomy 395
Theresa Henne and Oskar J. Gstrein
PART V AUTONOMOUS SYSTEMS, RIGHTS AND DUTIES
14 Artificial Intelligence and international human rights law: implications for humans and technology in the 21st century and beyond 430
Joshua C. Gellers and David J. Gunkel
15 Challenges posed by autonomous systems to liability regimes: finding a balance 456
Nynke E. Vellinga
16 Autonomous Weapons Systems in warfare: is Meaningful Human Control enough? 476
Taís Fernanda Blauth
Index 504
Erscheinungsdatum | 10.07.2023 |
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Reihe/Serie | Elgar Handbooks in Political Science |
Verlagsort | Cheltenham |
Sprache | englisch |
Maße | 156 x 234 mm |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Sozialwissenschaften ► Politik / Verwaltung ► Europäische / Internationale Politik | |
ISBN-10 | 1-80088-736-1 / 1800887361 |
ISBN-13 | 978-1-80088-736-7 / 9781800887367 |
Zustand | Neuware |
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