CultureLab: Meredith Broussard on trusting artificial intelligence New Scientist Podcasts

Unveiling Bias in Technology: Insights from Professor Meredith Broussard The Hartford Former

Meredith Broussard on Why Sexism, Racism and Ableism in Tech are ‘More than a Glitch’ The Good Robot

Examining the Historical Bias in the Algorithms Shaping our World with Meredith Broussard Story in the Public Square

AI researcher breaks down tech’s social issues in new book ‘More Than a Glitch’ ABC News

Can artificial intelligence be racist? Yahoo News 360

When Bytes Bias: Unraveling the Myth of Neutral AI Bernard Marr

An AI Diagnosed Her with Breast Cancer. Then She Ran an Experiment to See How Accurate It Was The Markup

Can We Code Equality? with Meredith Broussard Remote Daily

More than a Glitch: Confronting Race, Gender, and Ability Bias in Tech New Books Network

Meredith Broussard on Fighting Bias in AI Remarkable Leadership Lessons

Why AI Needs to Be Calibrated for Bias Undark

Are You a Technochauvinist? feat. Meredith Broussard Bias Check-In

Book: More than a Glitch, Confronting Race, Gender, and Ability Bias in Tech Redefining Society Podcast with Marco Ciappelli

Addressing Systemic Bias in Tech w/ Meredith Broussard Trust in Tech: an Integrity Institute Member Podcast

AI expert Meredith Broussard: ‘Racism, sexism and ableism are systemic problems’ The Guardian

The dangerous myth of neutrality in tech, and how to fix it CBC Spark

‘Throughline’ examines artificial intelligence — and these days AI is everywhere NPR Morning Edition

A More Perfect Human NPR Throughline

Meet the AI expert who says we should stop using AI so much MIT Technology Review

More than a Glitch, Technochauvinism, and Algorithmic Accountability with Meredith Broussard The Radical AI Podcast

Google’s new AI tools and OpenAI’s GPT-4 bring more to the AI race Trending Now TV

Meredith Broussard, NYU professor, AI ethics authority, and featured expert in Coded Bias, discusses the social implications of AI AI and the Future of Work

Meredith Broussard: Is it Okay to be AI? Tech Policy Leaders Podcast

How computers misunderstand the world: The Verge

Talking with Meredith Broussard about Artificial Unintelligence LA Times

Self-Driving Cars Are a Terrible Idea: The Self-Driving Office Edition Slate Money Podcast


“Broussard concludes by advocating for public interest technology and a rethink. New technology imitates the world it comes from; computers ‘predict the status quo’. Making change requires engineering technology so that it performs differently.” — net.wars

“The book explores the use of machine learning systems by the police. Historic data shows where arrests have been made and who was arrested, but not necessarily where crimes have been committed and who did them. This bias creates a feedback loop where predictive technology asserts that future crimes will be committed in similar areas, by similar people.” — Andrew Doran

“With statistics backing her up, Broussard does a stellar job of portraying this bias for the readers with stories from individuals who have faced such discrimination.” — The Daily Star

“Broussard brings her perspective as a multiracial woman, data journalist, and computer scientist to an eye-opening critique of racism, sexism, and ableism in technology.” — Kirkus Reviews

“It is undeniably hard not to be overwhelmed by the seemingly unstoppable course of technological development in the contemporary world, especially around AI and everything it appears poised to reinvent. But cynicism can also be a hiding place for privilege, and those who say despairingly that nothing can be done are often those who stand to benefit most from nothing being done.” – The Conversation

“If you’re interested in reading about the social political consequences of technology, you should read this type of book.” – Davood Gozli

“This book is a well written, concise look at some of the more serious cracks in the foundations of computing. The fallout from these technologies affects everyone, even if they never touch a computer in their lifetime.” – Reference Staff