Available Talks

  • 01

    On-Demand Sessions

    • The Ethical Algorithm by Michael Kearns, PhD

    • Bias in the Vision and Language of Artificial Intelligence by Margaret Mitchell, PhD

    • How to Stop Worrying and Embrace AI Bias by Jett Oristaglio

    • Actionable Ethics for Data Scientists by Emily Miller

    • Ethical AI: A Practical Guideline For Data Scientists by Vincent Spruyt

    • Getting Specific About Algorithmic Bias by Rachel Thomas, PhD

    • AI lifecycle Model Management Monitoring For Risk Bias and Fairness by Sepideh Seifzadeh, PhD

    • Sources of Bias: Strategies for Tackling Inherent Bias in Ai by Harry Glaser

    • Automating Inequality by Virginia Eubanks