Ai Ethics

This non-fiction overview examines the ethical questions raised by artificial intelligence, moving beyond hype to focus on real-world implications. It shows how AI powers everyday tools—from search engines and online advertising to voice assistants and autonomous systems—while asking essential questions about privacy, responsibility, transparency, and social impact. Written for curious readers who want clear, thoughtful analysis, the tone is measured, educational, and empowering. The concepts are presented through clear explanations of machine learning, data science, and the lifecycle of data—from collection through deployment. Real-world examples anchor abstract ideas, guiding readers through the debates that shape policy and design. Readers will notice a distinctive blend of philosophy and practical insight. The book surveys major ethical questions and policy considerations, offering accessible language and a structured approach that helps readers evaluate AI systems without jargon or sensationalism. Case studies and thoughtful scenarios invite readers to consider responsibility, governance, and the future of work in an AI-enabled world. - Core concepts covered: machine learning, data science, privacy, accountability, transparency, bias, governance, and policy options - Learning outcomes: assess AI systems, discuss ethical trade-offs, and engage in governance or design decisi