AI and Legal Education
Ethical and Sustainable Approaches
Series: Routledge Research in the Law of Emerging Technologies;
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Product details:
- Edition number 1
- Publisher Taylor & Francis
- Date of Publication 4 February 2025
- ISBN 9781032994277
- Binding Hardback
- No. of pages126 pages
- Size 216x138 mm
- Weight 300 g
- Language English 1430
Categories
Short description:
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. It will be of interest to researchers in the fields of law, education and AI ethics.
MoreLong description:
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.
MoreTable of Contents:
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
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