Hosted by Eleanor Drage and Kerry Mackereth, The Good Robot is a podcast which explores the many complex intersections between gender, feminism and technology. In this episode we talk to Meredith Broussard, data journalism professor at the Arthur L. Carter Institute at New York University. She's also the author of Artificial Unintelligence, which made waves following its release in 2018 by claiming that AI was nothing more than really fancy math. We talk about why we need to bring a little bit more friction back into technology and her latest book More Than a Glitch, which argues that AI that's not designed to be accessible is bad for everyone, in the same way that raised curbs between the pavement and the street that you have to go down to cross the road makes urban outings difficult for lots of people, not just wheelchair users. Data journalist Meredith Broussard is an associate professor at the Arthur L. Carter Journalism Institute of New York University, research director at the NYU Alliance for Public Interest Technology, and the author of several books, including More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech and Artificial Unintelligence: How Computers Misunderstand the World.

Hosted by Dylan Doyle-Burke and Jessie J Smith, Radical AI is a podcast featuring the voices of the future in the field of artificial intelligence ethics. In this episode, Dylan and Jess discuss Meredith Broussard's influential new book, "More than a Glitch: Confronting Race, Gender, and Ability Bias in Tech". In this episode, we discuss Meredith Broussards influential new book, "More than a Glitch: Confronting Race, Gender, and Ability Bias in Tech" – published by MIT Press. Meredith is a data journalist, an associate professor at the Arthur L. Carter Journalism Institute of New York University, a research director at the NYU Alliance for Public Interest Technology, and the author of several books, including "More Than a Glitch" (which we cover in this episode) and "Artificial Unintelligence: How Computers Misunderstand the World." Her academic research focuses on artificial intelligence in investigative reporting and ethical AI, with a particular interest in using data analysis for social good.

Meredith Broussard is a data journalist and academic whose research focuses on bias in artificial intelligence (AI). She has been in the vanguard of raising awareness and sounding the alarm about unchecked AI. Her previous book, Artificial Unintelligence (2018), coined the term "technochauvinism" to describe the blind belief in the superiority of tech solutions to solve our problems. She appeared in the Netflix documentary Coded Bias (2020), which explores how algorithms encode and propagate discrimination. Her new book is More Than a Glitch: Confronting Race, Gender and Ability Bias in Tech.

In this episode of the Tech Policy Leaders podcast, Meredith Broussard discusses her new book'More Than a Glitch,' which takes a critical look at algorithms and the people who create them. Data journalist Meredith Broussard is an associate professor at the Arthur L. Carter Journalism Institute of New York University, research director at the NYU Alliance for Public Interest Technology, and the author of several books, including "Artificial Unintelligence: How Computers Misunderstand the World" and "More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech." Her academic research focuses on artificial intelligence in investigative reporting and ethical AI, with a particular interest in using data analysis for social good. She appeared in the 2020 documentary Coded Bias, an official selection of the Sundance Film Festival that was nominated for an Emmy Award and an NAACP Image Award.

In Artificial Unintelligence: How Computers Misunderstand the World, Meredith Broussard adds to the growing literature exploring the limits of artificial intelligence (AI) and techno-solutionism, furthermore showing how its socially-constructed nature replicates existing structural inequalities. Calling for greater racial and gender diversity in tech, the book offers a timely, accessible and often entertaining account that sets the record straight on what current approaches to AI are and are not capable of delivering, writes Nikita Aggarwal. This post originally appeared on LSE Review of Books. If you would like to contribute to the series, please contact the managing editor of LSE Review of Books, Dr Rosemary Deller, at lsereviewofbooks@lse.ac.uk. You don't need to speak Italian to know that something's not quite right.