Available Talks
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1
On-Demand Sessions
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The Ethical Algorithm by Michael Kearns, PhD
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Bias in the Vision and Language of Artificial Intelligence by Margaret Mitchell, PhD
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How to Stop Worrying and Embrace AI Bias by Jett Oristaglio
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Actionable Ethics for Data Scientists by Emily Miller
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Ethical AI: A Practical Guideline For Data Scientists by Vincent Spruyt
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Getting Specific About Algorithmic Bias by Rachel Thomas, PhD
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AI lifecycle Model Management Monitoring For Risk Bias and Fairness by Sepideh Seifzadeh, PhD
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Sources of Bias: Strategies for Tackling Inherent Bias in Ai by Harry Glaser
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Automating Inequality by Virginia Eubanks
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