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Unmasking AI: My Mission to Protect What Is Human in a World of Machines Audiobook by Joy Buolamwini

[HPP] Joy BuolamwiniMay 21, 20255 min
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Developing the Aspire Mirror

  • πŸ’‘ Joy Buolamwini was developing an Aspire mirror, a project involving a video filter that appeared on a mirror reflection.
  • πŸš€ 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

  • πŸ› οΈ To achieve interactivity, she needed to integrate face tracking software with a webcam.
  • 🧩 Like many coders, she relied on pre-existing software libraries rather than building everything from scratch, comparing them to prefabricated building blocks.
  • ⚠️ She integrated an open-source face tracking library into her code for the project.

Unmasking Algorithmic Bias

  • πŸ” Despite looking directly into the camera, the face tracking system could not detect her face.
  • 🎨 To test the system, she drew a simple face on her hand, which the software successfully detected.
  • 🎭 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.
  • ⚑ This personal experience revealed a significant algorithmic bias in the face tracking technology.
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Transcript19 segments

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Topics12 themes

What’s Discussed

AIFace TrackingAlgorithmic BiasSoftware LibrariesOpen-Source SoftwareVideo FiltersCoded GazeAlgorithmic Justice LeagueComputer ScienceEngineeringRoboticsJoy Buolamwini
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