The book examines the approaches to regulating artificial intelligence through ethical, legal, and policy frameworks. Its primary focus is on critical issues such as algorithmic bias, data privacy, transparency, human rights, and the broader social implications of AI technologies. The scope of the book aligns with the evolving policies and strategies being developed by governments and international organizations to ensure the responsible and accountable use of AI. It presents real-world applications across sectors such as healthcare, education, finance, and public administration, illustrating both the opportunities and challenges associated with AI regulation for organizations and individuals.
In addition, the book explores national and international initiatives aimed at establishing governance models that promote accountability, fairness, and public trust. It emphasizes the need for participatory and adaptive policy frameworks that can respond effectively to the rapid pace of technological change.
This book is intended for students, researchers, policymakers, and professionals, and seeks to bridge the gap between theory and practice in the field of AI governance.
Key Features:
- Explore the ethical, legal and policy aspects of AI governance in a multidisciplinary manner.
- Examines practical application of national and global case studies including real life examples of AI policy.
- Discusses how governments, international institutions and civil society can create responsible AI systems.
- Bridges theory to the practice by linking basic principles with new models of governance.
- Academic learning, policy development that is written in an accessible language, well-structured and references that is current.