Institute History
Description
When MIT Media Lab researcher Joy Buolamwini made the startling discovery that most facial recognition software does not see dark-skinned faces or women with accuracy, she embarked on a journey to sound the alarm about bias in the machine-learning algorithms that impact us all. Through Joy’s transformation from scientist to tireless advocate pushing for the first-ever legislation in the U.S. to govern this technology, Code for Bias sheds light on the threat A.I. poses to civil rights and democracy.
Credits
As you use our Online Archives, please understand that the information presented from Festivals, Labs, and other activities is taken directly from official publications from each year. While this information is limited and doesn't necessarily represent the full list of participants (e.g. actors and crew), it is the list given to us by the main film/play/project contact at the time, based on the space restrictions of our publications. Each entry in the Online Archives is meant as a historical record of a particular film, play, or project at the time of its involvement with Sundance Institute. For this reason, we can only amend an entry if a name is misspelled, or if the entry does not correctly reflect the original publication.
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