This book provides a comprehensive interdisciplinary analysis of the sustainable and ethical integration of artificial intelligence (AI) within legal education, offering practical strategies for balancing innovation with ethical responsibility. Discussing the intersection of legal studies, technology and ethics, the book focuses on AI's role in reshaping professional education.
With the rising demand for digital transformation in legal education and the increasing scrutiny of AI's ethical impact, this book explores the potential of AI to enhance legal learning and practice, while critically examining the challenges of data privacy, algorithmic bias and equitable access to technology. Outlining a framework for incorporating AI into the law curriculum, the book equips the readers with both cutting-edge technological skills and a deep understanding of AI's ethical and societal implications. Drawing on a wide range of sources, including industry data and academic research, the book offers grounded, actionable guidance on implementing AI in a way that promotes inclusivity, sustainability and long-term relevance. It addresses the needs of legal education institutions, faculty and students, providing them with the tools to navigate the evolving legal landscape while maintaining ethical standards.
The book will also be of interest to researchers in the fields of law, education and AI ethics.
Rezensionen / Stimmen
This book provides a vital, in-depth exploration of AI integration in legal education, addressing ethical, practical and sustainability challenges with remarkable insight. By critically analysing AI's role without overlooking the essential human element, it fills a crucial gap in the AI debate, offering essential guidance for both legal educators and practitioners.
Professor Michael Reynolds, The London School of Economics
Reihe
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Postgraduate
Maße
Höhe: 222 mm
Breite: 145 mm
Dicke: 11 mm
Gewicht
ISBN-13
978-1-032-99427-7 (9781032994277)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Anil Balan is a senior lecturer in professional legal education at the Dickson Poon School of Law, King's College London, and a senior fellow of the Higher Education Academy. The research in this book relates to Anil's wider research interests on enhancement of teaching, assessment and feedback for law students from culturally diverse backgrounds, in respect of which he has published numerous peer-reviewed articles in prominent journals.
Introduction
1. Ethical Considerations in AI Adoption
2. Bias Mitigation and Fairness
3. Digital Divide Mitigation
4. Faculty Training and Development
5. Regulatory Compliance in AI Adoption
6. Data Privacy and Security
7. Long-Term Viability of AI Solutions
Conclusion
