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Artificial Intelligence and Big Data: Lessons from Evaluations of the Rule of Law and Development

Artificial Intelligence and Big Data: Lessons from Evaluations of the Rule of Law and Development

Name: Artificial Intelligence and Big Data: Lessons from Evaluations of the Rule of Law and Development
Brand: Edward Elgar Publishing
SKU: 9781803925660
Price: 1576.25 HKD
Availability: InStock
Author: Frans L. Leeuw; Michael Bamberger
ISBN: 9781803925660

Edited by Frans L. Leeuw · Michael Bamberger

Edward Elgar Publishing March 2025

Specifications

ISBN-13: 9781803925660
Publisher: Edward Elgar Publishing
Publication: March 2025
Format: Hardback
Jurisdiction: International ? Countri(es) for reference only

Details

This timely book explores how artificial intelligence (AI) and big data contribute to the evaluation of legal arrangements, empirical legal research, technology law, legal theory and international law (defined in the book as ‘Rule of Law’) and social and economic development programs (defined in the book as ‘Development’ ) in both industrialized and developing countries. Interdisciplinary and international in scope, the book focuses on the Rule of Law and Development, and compares how AI and big data are used in each of these fields, and how each could learn from the approaches used in the other. Issues of ethics and bias in the use of AI are also addressed and indicators of the growth of knowledge in the field are discussed.

Bringing together a diverse array of leading academics and practitioners from across the globe, the book explores the range of applications of AI and big data in Rule of Law and development evaluation, identifies differences in the approaches used in the two fields, as well as differences in the AI-related issues addressed in industrialized nations compared to those addressed in Africa and Asia.

Artificial Intelligence and Big Data is an essential read for researchers, academics and students working in the fields of Rule of Law and Development, and researchers in institutions working on new applications in AI will all benefit from the book’s practical insights.

Introduction to Artificial Intelligence and Big Data: lessons from evaluations of the Rule of law and development 1

Michael Bamberger and Frans L. Leeuw

PART 1. EVALUATION IN THE AGE OF ARTIFICIAL INTELLIGENCE AND BIG DATA

1. The evolving role of Artificial Intelligence and Big Data in development evaluation: opportunities and challenges 18

Michael Bamberger and Frans L. Leeuw

2. The power of machine learning to extract meaning from big data in a world that demands data privacy Pete York 40

Pete York

3. Addressing ethics and rights challenges with Big Data and Artificial Intelligence 59

Mark Irura, Gachara and Linda Raftree

PART 2. ARTIFICIAL INTELLIGENCE AND BIG DATA: CONTRIBUTIONS FROM EMPIRICAL LEGAL RESEARCH AND THE RULE OF LAW

4. Legal complexity and evaluating legal phenomena: The relevance of linking data and legal data analytics 84

Gijs van Dijck

5. Empirical legal research in a digital society: Questions, approaches, examples, and a case study 106

Antonia Waltermann and Frans L. Leeuw

6. Evaluating the effects of using AI and Big Data in interventions: examples and the need for a realist agenda 126

Frans L. Leeuw

7. Big Data and the Rule of Law: South African experience 146

Jerusha Govender and Diana Zhou

8. The new frontiers of legal evaluation 172

Bart Custers

PART 3. ARTIFICIAL INTELLIGENCE AND BIG DATA: CONTRIBUTIONS FROM THE EVALUATION OF DEVELOPMENT PROGRAMS

9. Applications of spatial science, satellites, and drones in combating crime and conflict 194

Anupam Anand

10. Applications of digital data innovations and Artificial Intelligence in the humanitarian sector: lessons from a UN global pulse pilot project 213

Michael Bamberger and Paula

11. World Bank IEG evaluations and the role of data science:reflections from recent experiences 234

Harsh, Anuj, Virginia Ziulu, Ariya Hagh, Estelle Raimondo and Jos Vaessen

12. Lessons from the applications and regulation of health sector data in the EU 255

Miklós Szócska and Krisztina Davidovics

13. Harnessing administrative data for evaluation: The Indian experience 276

Kaamila Patherya, Sandeep Ghosh and Swapnil Shekhar

14. Conclusions, growth of knowledge, but also knowledge gaps and challenges 296

Frans L. Leeuw and Michael Bamberger

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