Artificial intelligence and big data : lessons from evaluations of the rule of law and development / edited by Frans L. Leeuw and Michael Bamberger.

Format:

Book

Contributor:

Leeuw, Frans L., editor.

Bamberger, Michael, editor.

Edward Elgar Publishing, publisher.

Language:

English

Subjects (All):

Artificial intelligence--Law and legislation.

Artificial intelligence.

Big data.

Economic development projects.

Physical Description:

1 online resource (348 pages)

Edition:

First edition.

Place of Publication:

Northampton : Edward Elgar Publishing, 2025.

Summary:

"This timely book explores how Artificial Intelligence (AI) and Big Data contribute to the evaluation of the rule of law (covering legal arrangements, empirical legal research, law and technology, and international law), and social and economic development programs in both industrialized and developing countries. 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. Interdisciplinary and international in scope, and bringing together leading academics and practitioners from across the globe, the book explores the applications of AI and big data in Rule of Law and development evaluation, identifies differences in the approaches used in the two fields, and how each could learn from the approaches used in the other, 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"-- Provided by publisher.

Contents:

Contents: Introduction to artificial intelligence and big data: Lessons from evaluations of the rule of law and development / 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 / 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 / Pete York

3. Addressing ethics and rights challenges with big data and artificial intelligence / 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 / Gijs van Dijck

5. Empirical legal research in a digital society: Questions, approaches, examples, and a case study / 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 / Frans L. Leeuw

7. Big data and the rule of law: South African experience / Jerusha Govender and Diana Zhou

8. The new frontiers of legal evaluation / 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 / Anupam Anand

10. Applications of digital data innovations and artificial intelligence in the humanitarian sector: Lessons from a UN global pulse pilot project / Michael Bamberger and Paula

11. World bank ieg evaluations and the role of data science: Reflections from recent experiences / 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 / Miklós Szócska and Krisztina Davidovics

13. Harnessing administrative data for evaluation: The Indian experience / Kaamila Patherya, Sandeep Ghosh and Swapnil Shekhar

14. Conclusions, growth of knowledge, but also knowledge gaps and challenges / Frans L. Leeuw and Michael Bamberger.

Notes:

Description based on publisher supplied metadata and other sources.

Description based on print version record.

Includes bibliographical references and index.

ISBN:

9781803925677

1803925671

OCLC:

1509437236