AI Governance Challenges explores the intricate regulatory environment surrounding artificial intelligence, a technology rapidly permeating modern life. It emphasizes the urgent need for responsible AI development, focusing on transparency, risk assessment, and accountability. The book highlights how AI systems increasingly influence critical decisions, impacting everything from loan applications to autonomous vehicles, underscoring the potential for biases and erosion of privacy if left ungoverned.
The book argues for a multi-faceted approach to AI governance, combining technical safeguards, ethical guidelines, and robust legal frameworks. It traces the historical evolution of AI ethics and policy, examining international and national guidelines to provide context. Structured in three sections, the book first introduces core concepts, then analyzes challenges like algorithmic transparency and bias mitigation, and finally synthesizes these analyses into a comprehensive governance framework with practical recommendations.
This book distinguishes itself by advocating for a human-centered approach, prioritizing human values and fundamental rights in AI system design and deployment. It uniquely presents comparative analyses of AI governance frameworks across countries and empirical studies on AI's social impact. The book, therefore, provides a valuable resource for policymakers, business leaders, researchers, and anyone keen to understand and navigate the complex world of AI governance.
