Ethics In AI

The book examines the evolution of AI ethics, from early discussions of machine intelligence to today's complex issues. It emphasizes a proactive, multi-stakeholder approach, arguing ethics must be integrated into AI design and development, not treated as an afterthought.

The book progresses from core concepts to specific challenges like algorithmic bias, offering strategies for mitigation. It then delves into accountability and transparency, proposing frameworks for understandable AI decision-making, before concluding with broader societal implications, including impacts on employment and social justice.