Summary
Chapters
Video Info
Summary
Dr. Chirag Shah, PhD, Associate Professor at the Information School, University of Washington, discusses and uses examples to illustrate bias in machine learning, including intentional and unintentional bias, how biases interact, and counteracting bias.
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Chapter 1: Chirag Shah Discusses Bias in Machine Learning
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Chapter 2: Chirag Shah Discusses Intentionally Manipulating Users With Machine Learning
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Chapter 3: Chirag Shah Discusses Examples of Gray Areas of Manipulation
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Chapter 4: Chirag Shah Discusses Unintentional Bias or Unintentionally Influencing Users With Machine Learning
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Chapter 5: Chrag Shah Discusses How Biases Interact and Counteracting Bias
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Chapter 6: Chirag Shah Discusses Bias on the Internet
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Chapter 7: Chirag Shah Shares Key Takeaways on Bias in Machine Learning
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