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Handbook on the Politics and Governance of Big Data and Artificial Intelligence
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.
This title contains one or more Open Access chapters.
This title contains one or more Open Access chapters.
More Information
Critical Acclaim
Contributors
Contents
More Information
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.
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.
Critical Acclaim
‘Zwitter and Gstrein have astutely brought together an impressive collection of chapters that address key themes in the politics and governance of AI and big data. From social justice and gender to privacy and rights, the Handbook provides a solid introduction to key debates and their implications for societies.’
– Evelyn Ruppert, Goldsmiths, University of London, UK
‘This volume succeeds in bringing together a wide ranging collection of original studies in a field that is as fast developing as it is important to keep track of. The reader who is interested in normative political and governance perspectives on AI and big data will find insightful analyses and well-informed discussions of the key problems of regulation and policy making in a digital age.’
– Jeroen van den Hoven, Delft University of Technology, the Netherlands
– Evelyn Ruppert, Goldsmiths, University of London, UK
‘This volume succeeds in bringing together a wide ranging collection of original studies in a field that is as fast developing as it is important to keep track of. The reader who is interested in normative political and governance perspectives on AI and big data will find insightful analyses and well-informed discussions of the key problems of regulation and policy making in a digital age.’
– Jeroen van den Hoven, Delft University of Technology, the Netherlands
Contributors
Contributors: Halefom H. Abraha, Javier Argota Sánchez-Vaquerizo, Taís Fernanda Blauth, Malcolm Campbell-Verduyn, Elizabeth Coombs, Caroline L. Davey, Daniel Feitosa, Nikolaus Forgó, Joshua C. Gellers, Oskar Josef Gstrein, David J. Gunkel, Amelia Hadfield, Dagmar Heinrich, Dirk Helbing, Theresa Henne, Catherine Jasserand, Emily Johnson, Iana Kazeeva, Christopher K. Lamont, Alex Leveringhaus, Medlir Mema, Paul Nemitz, Lukasz Olejnik, Maximilian Querbach, Eko Rahmadian, Susanne Schmuck, Elisabeth Steindl, Linnet Taylor, Nynke E. Vellinga, Andrew B. Wootton, Andrej Zwitter
Contents
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
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
