The Ethical AI User

Mary Jones

2026년 6월 · MARY JONES

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The Ethical AI User is a detailed, practical guide to AI Ethics and Bias: What Every User Should Know for readers who want a clear path from understanding the topic to using it confidently in real situations. The book is designed as a structured learning companion rather than a shallow overview: it introduces the core ideas, explains why they matter, then develops them through realistic examples, guided practice, scenario-based explanations, and common mistakes to avoid. Readers are taken step by step from foundational concepts into everyday applications, with each chapter building on the previous one so the material feels progressive, usable, and easy to revisit. The main areas of focus include The Hidden Bias in Your Daily AI, How Algorithms Learn Prejudice, Real-World Case Studies of AI Bias, The Ethical Framework for Evaluating AI, Common Mistakes Users Make with AI, Your Personal AI Bias Checklist, The Role of Data in Ethical AI, Decision Guide: When to Trust an AI Output, Implementation Plan for Responsible AI Use, The Transparency Dilemma, giving the book a concrete learning arc that moves from orientation and confidence-building to applied communication, problem solving, and independent practice. The writing style is direct, supportive, and accessible, making the book suitable for self-study, classroom reinforcement, professional development, or personal improvement. It emphasizes practical understanding over abstract theory, so readers can immediately connect the lessons to conversations, decisions, habits, and challenges they are likely to face outside the page. By the end of the book, readers should have not only a stronger grasp of the subject, but also a collection of repeatable strategies, useful language patterns, mental models, and practical routines they can continue applying after they finish reading.

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**Mary Jones** is a technology ethicist and educator with over fifteen years of experience in the fields of responsible AI and digital rights. She holds a Master’s in Science, Technology, and Society from Stanford University, where her research focused on the intersection of algorithmic bias and civil rights. Mary has worked as a senior policy advisor at the Center for Democracy & Technology, where she led initiatives to embed fairness requirements into federal procurement guidelines for AI systems. She has also consulted for several Fortune 500 companies on developing bias‑detection frameworks for their consumer‑facing products.

In addition to her policy and industry work, Mary teaches an undergraduate course on AI ethics at the University of Washington, where she is a visiting lecturer. Her writing has appeared in *Wired*, *The Guardian*, and the *Harvard Business Review*, and she is a frequent speaker at conferences such as the ACM Conference on Fairness, Accountability, and Transparency (FAccT) and RightsCon. Mary’s first book, *The Ethical AI User*, grew out of her belief that everyday users—not just engineers—hold the power to demand a more just technological future. She lives in Seattle and, when not scrutinizing algorithms, enjoys hiking in the Cascade Mountains with her dog, Pixel.