Meredith Broussard

Meredith Broussard is a data journalism professor, researcher, and author known for her work on artificial intelligence and technology bias. She coined the term "technochauvinism" and has become a prominent voice examining the limitations and societal impacts of AI systems. As a former software developer at AT&T Bell Labs and MIT Media Lab, Broussard brings technical expertise to her journalism and research. She has written two influential books: "Artificial Unintelligence: How Computers Misunderstand the World" and "More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech." Currently serving as an associate professor at NYU's Arthur L. Carter Journalism Institute and research director at the NYU Alliance for Public Interest Technology, Broussard combines academic research with practical applications. She developed Bailiwick, a data analysis tool for investigating campaign finance, and appeared in the 2020 Netflix documentary "Coded Bias." Her work has been published in major outlets including The Atlantic, Harper's Magazine, and Slate, while her expertise on algorithmic bias and AI ethics has been featured in The New York Times, Los Angeles Times, and other prominent media sources.

Readers view Broussard as a technology critic who raises concerns about over-reliance on AI and algorithms. Her books "Artificial Unintelligence" and "More Than a Glitch" receive ratings averaging 3.8/5 on Goodreads and 4.2/5 on Amazon. Readers appreciate her: - Clear explanations of technical concepts for non-experts - Real-world examples showing algorithmic bias - Focus on social impact rather than just technical details - Journalism background bringing investigative rigor Common criticisms: - Takes an overly negative stance toward technology - Some arguments lack technical depth - Writing style can be repetitive - Limited proposed solutions From reviews: "Makes complex ideas accessible without oversimplifying" - Amazon reviewer "Too focused on problems, not enough on fixes" - Goodreads reviewer "Important message but could be more concise" - Goodreads reviewer Review counts: Goodreads: 1,200+ ratings Amazon: 300+ ratings Google Books: 80+ ratings

Artificial Unintelligence: How Computers Misunderstand the World (2018) Examines the fundamental limitations of artificial intelligence and computing systems while challenging the assumption that technological solutions are always superior to human ones.

More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech (2023) Analyzes how social biases become embedded in digital systems and explores specific examples of discrimination in areas like healthcare algorithms, facial recognition, and automated systems.

Cathy O'Neil writes about algorithmic bias and the societal impacts of data-driven systems through a mathematical lens. Her book "Weapons of Math Destruction" examines how algorithms perpetuate inequality and discrimination in ways that parallel Broussard's analysis.

Virginia Eubanks investigates how digital tools and automated systems affect poor and working-class communities. Her book "Automating Inequality" documents case studies of how technology-based systems can harm vulnerable populations when deployed in social services.

Kate Crawford examines power structures and bias in artificial intelligence systems through research and writing. Her work in "Atlas of AI" explores the material resources and human labor behind AI systems while questioning their implications for society.

Sara Wachter-Boettcher focuses on how technology design choices reflect and reinforce existing social biases. Her book "Technically Wrong" documents real-world examples of discriminatory technology similar to those analyzed in Broussard's work.

Safiya Noble researches algorithmic bias and how search engines perpetuate discrimination. Her book "Algorithms of Oppression" examines how search engines reinforce racial and gender biases through their ranking systems.