AI and Accountability: Shaping Ethical Governance in the Age of Algorithms

The authors explore the core ethical challenges of algorithmic bias, transparency, data privacy, and human oversight, and discuss effective strategies to mitigate these challenges and enhance the fairness and reliability of AI systems. As artificial intelligence rapidly reshapes industries and societies, the need for responsible development has become more pressing than ever. This edited book provides a thorough exploration of AI ethics and governance, offering readers a robust framework for tackling these critical issues. The authors explore the core ethical challenges of algorithmic bias, transparency, data privacy, and human oversight, and discuss effective strategies to mitigate these challenges and enhance the fairness and reliability of AI systems. The book analyzes the regulatory landscape across key sectors such as finance, healthcare, and criminal justice, and discusses how leading companies like Google and Microsoft are pioneering effective AI governance. Blending practical examples, regulatory analysis, and forward-thinking strategies, this book is a vital resource for professionals aiming to navigate the complex world of AI ethics and governance.