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Avoiding bias through better data collection

Contents

  • Why is bias an issue?
  • The “coded gaze” in AI
  • When things go wrong
  • How does computer vision bias happen?
  • History of data collection for AI
  • Ensuring dataset diversity
  • Balancing the data
  • Building ethical datasets
  • Best practices
    … and more

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