Meredith Broussard is a data journalism professor at the Arthur L. Carter Journalism Institute at New York University.[1] Her research focuses on the role of artificial intelligence in journalism.
Currently, Broussard is an associate professor at the Arthur L. Carter Journalism Institute of New York University, a research director of the NYU Alliance for Public Interest Technology, and an advisory board member of the Center for Critical Race and Digital Studies.[5][6][7]
Broussard has published a wide range of books examining the intersection of technology and social practice. Her book Artificial Unintelligence: How Computers Misunderstand the World, published in April 2018 by MIT Press, examines the limits of technology in solving social problems.[12] Her book More than a Glitch: Confronting Race, Gender, and Ability Bias in Tech was published in March 2023.[13] She has been profiled in Communications of the ACM[14] and cited by Christopher Mims of The Wall Street Journal as an expert in the future of self-driving car technology.[15] Other publications and works of hers include:
"Why Poor Schools Can't Win at Standardized Testing"[25]
"Artificial Intelligence for Investigative Reporting"[26]
Selected academic publications
Broussard, Meredith. "Artificial intelligence for investigative reporting: Using an expert system to enhance journalists’ ability to discover original public affairs stories." Digital Journalism 3.6 (2015): 814-831.
Boss, Katherine, and Meredith Broussard. "Challenges of archiving and preserving born-digital news applications." IFLA journal 43.2 (2017): 150–157.
Broussard, Meredith. "Big Data in Practice: Enabling computational journalism through code-sharing and reproducible research methods." Digital Journalism 4.2 (2016): 266–279.
Broussard, Meredith. "Teaching coding in journalism schools: Considerations for a secure technological infrastructure." Computation+ Journalism 2015 Conference. 2015.
^Kantayya, Shalini (2020-11-11), Coded Bias (Documentary), 7th Empire Media, Chicken And Egg Pictures, Ford Foundation - Just Films, retrieved 2021-09-25