Unmasking Ai My Mission To Protect What Is Human In A World Of Machines Summary
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Unmasking AI
NATIONAL BESTSELLER • “The conscience of the AI revolution” (Fortune) explains how we’ve arrived at an era of AI harms and oppression, and what we can do to avoid its pitfalls. “AI is not coming, it’s here. If we answer the beautiful call inside these pages, we can decide who we are going to be and how we’re going to use technology in service of what it means to be fully human.”—Brené Brown, #1 New York Times bestselling author of Dare to Lead A LOS ANGELES TIMES BEST BOOK OF THE YEAR • Shortlisted for the Inc. Non-Obvious Book Award To most of us, it seems like recent developments in artificial intelligence emerged out of nowhere to pose unprecedented threats to humankind. But to Dr. Joy Buolamwini, who has been at the forefront of AI research, this moment has been a long time in the making. After tinkering with robotics as a high school student in Memphis and then developing mobile apps in Zambia as a Fulbright fellow, Buolamwini followed her lifelong passion for computer science, engineering, and art to MIT in 2015. As a graduate student at the “Future Factory,” she did groundbreaking research that exposed widespread racial and gender bias in AI services from tech giants across the world. Unmasking AI goes beyond the headlines about existential risks produced by Big Tech. It is the remarkable story of how Buolamwini uncovered what she calls “the coded gaze”—the evidence of encoded discrimination and exclusion in tech products—and how she galvanized the movement to prevent AI harms by founding the Algorithmic Justice League. Applying an intersectional lens to both the tech industry and the research sector, she shows how racism, sexism, colorism, and ableism can overlap and render broad swaths of humanity “excoded” and therefore vulnerable in a world rapidly adopting AI tools. Computers, she reminds us, are reflections of both the aspirations and the limitations of the people who create them. Encouraging experts and non-experts alike to join this fight, Buolamwini writes, “The rising frontier for civil rights will require algorithmic justice. AI should be for the people and by the people, not just the privileged few.”
Artificial Intelligence and the Value Alignment Problem
Written for an interdisciplinary audience, this book provides strikingly clear explanations of the many difficult technical and moral concepts central to discussions of ethics and AI. In particular, it serves as an introduction to the value alignment problem: that of ensuring that AI systems are aligned with the values of humanity. LaCroix redefines the problem as a structural one, showing the reader how various topics in AI ethics, from bias and fairness to transparency and opacity, can be understood as instances of the key problem of value alignment. Numerous case studies are presented throughout the book to highlight the significance of the issues at stake and to clarify the central role of the value alignment problem in the many ethical challenges facing the development and implementation of AI.
Artificial Intelligence for Academic Libraries
Author: Clifford B. Anderson
language: en
Publisher: Taylor & Francis
Release Date: 2025-07-08
Artificial Intelligence for Academic Libraries provides a clear and dependable guide to the history, theory, and application of artificial intelligence (AI) and machine learning (ML) in academic libraries, addressing the needs of librarians, staff, administrators, and other stakeholders. Emerging from a long-running conversation between an academic librarian and a professor of computer science, this book provides readers with a critical perspective on the history, present, and future of AI in libraries and information services. Synthesizing the literature on AI, ML, and librarianship, the authors provide the requisite background to evaluate the impact of these technologies on the information ecosystem. The first half of the volume covers the fundamentals of AI, notably the divergences between the two major AI paradigms as well as philosophical, legal, and ethical issues that arise from the use of AI. The second half addresses specialized topics, including hybrid AIs that bridge the dominant AI paradigms, the responsible use of AI in research and learning, and suggestions for professional development. Artificial Intelligence for Academic Libraries will benefit academic librarians seeking to develop a solid understanding of AI and ML and their likely impact on library operations and services, including student and faculty outreach. The volume also serves as a pedagogical resource for library and information science students entering this rapidly changing field.