AI and Legal Education
eBook - ePub

AI and Legal Education

Ethical and Sustainable Approaches

  1. 146 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

AI and Legal Education

Ethical and Sustainable Approaches

About this book

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.

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Yes, you can access AI and Legal Education by Anil Balan in PDF and/or ePUB format, as well as other popular books in Law & International Law. We have over one million books available in our catalogue for you to explore.

Information

Year
2025
eBook ISBN
9781040344934
Edition
0
Topic
Law
Index
Law

Table of contents

  1. Cover
  2. Endorsements
  3. Half Title
  4. Series
  5. Title
  6. Copyright
  7. Contents
  8. Introduction
  9. 1 Ethical Considerations in AI Adoption
  10. 2 Bias Mitigation and Fairness
  11. 3 Digital Divide Mitigation
  12. 4 Faculty Training and Development
  13. 5 Regulatory Compliance in AI Adoption
  14. 6 Data Privacy and Security
  15. 7 Long-Term Viability of AI Solutions
  16. Conclusion