Coded Bias

[1] The film includes contributions from researchers Joy Buolamwini, Deborah Raji, Meredith Broussard, Cathy O’Neil, Zeynep Tufekci, Safiya Noble, Timnit Gebru, Virginia Eubanks, and Silkie Carlo, and others.

It says that some algorithms and artificial intelligence technologies discriminate by race and gender statuses in domains such as housing, career opportunities, healthcare, credit, education, and legalities.

As companies use more machine learning, the algorithms discussed have substantial influence over the information we discern, determining individuals who successfully navigate automated hiring processes, those granted access to healthcare, and those subjected to heightened scrutiny within police systems.

The website's critical consensus reads, "Clear, concise, and comprehensive, Coded Bias offers a chilling look at largely unseen side effects of modern society's algorithmic underpinnings.

[16] In a review written for the New York Times, Devika Girish states "The film moves deftly between pragmatic and larger political critiques, arguing that it’s not just that the tech is faulty; even if it were perfect, it would infringe dangerously on people’s liberties.

"[18] In the review from the website of the Society for Social Studies of Science, Renee Shelby questioned whether readers understood the power she said was abused through this data collection.