Unmasking AI: My Mission to Protect What Is Human in a World of Machines Audiobook by Joy Buolamwini
[HPP] Joy BuolamwiniMay 21, 20255 min
1 connectionsΒ·2 entities in this videoβDeveloping the Aspire Mirror
- π‘ Joy Buolamwini was developing an Aspire mirror, a project involving a video filter that appeared on a mirror reflection.
- π Her initial proof of concept was successful, but she aimed to add interactivity by making the image follow her face as she moved.
Encountering Technical Hurdles
- π οΈ To achieve interactivity, she needed to integrate face tracking software with a webcam.
- π§© Like many coders, she relied on pre-existing software libraries rather than building everything from scratch, comparing them to prefabricated building blocks.
- β οΈ She integrated an open-source face tracking library into her code for the project.
Unmasking Algorithmic Bias
- π Despite looking directly into the camera, the face tracking system could not detect her face.
- π¨ To test the system, she drew a simple face on her hand, which the software successfully detected.
- π Crucially, when she wore a white costume mask, the software detected her "mask face," but when she removed it, her dark-skinned human face was not detected.
- β‘ This personal experience revealed a significant algorithmic bias in the face tracking technology.
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2 entities
Chapters2 moments
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Transcript19 segments
Full Transcript
Topics12 themes
Whatβs Discussed
AIFace TrackingAlgorithmic BiasSoftware LibrariesOpen-Source SoftwareVideo FiltersCoded GazeAlgorithmic Justice LeagueComputer ScienceEngineeringRoboticsJoy Buolamwini
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