Bias, Fairness, Accountability, Transparency, Societal Impact, Governance, Privacy, and Security
AI Ethics is a comprehensive textbook examining the moral, social, and governance dimensions of artificial intelligence. As AI systems increasingly make decisions that affect people's lives, understanding the ethical implications of these technologies is critical for developers, policymakers, and society at large.
This book covers algorithmic bias and fairness, accountability and transparency in AI systems, privacy implications of data-driven technologies, the societal impact of automation, and emerging governance frameworks. You'll examine real-world case studies of AI failures and successes through an ethical lens.
Topics include explainable AI, responsible AI development practices, AI safety research, regulatory approaches like the EU AI Act, and the philosophical foundations of machine ethics. This textbook prepares you to think critically about the AI systems you build, deploy, or encounter.