• Time in PST

  • 08:00

    WELCOME & INTRODUCTION

  • 08:05

    Understandable, Transparent and Interpretable Results in Machine Learning

  • 08:25

    Developing Contextual Design to Build Trust in Models

  • 08:50

    NETWORKING BREAK: Visit the Expo Booths

  • 09:00

    Explore, Exploit, and Explain: Role of Explanation & Attribution in Multi-stakeholder Marketplaces

  • 09:25

    From Explainable Techniques to Organizational Ethics

  • 09:50

    BREAKOUT SESSIONS: Roundtable Discussions with Speakers

  • 10:10

    PANEL: Looking at Different Types of Algorithmic Bias Across Industries - What Are The Limitations and How Do We Overcome These to Increase Algorithmic Fairness?

  • 10:45

    MAKE CONNECTIONS: Meet with Attendees Virtually for 1:1 Conversations and Group Discussions over Similar Topics and Interests

  • 11:00

    END OF SUMMIT

This website uses cookies to ensure you get the best experience. Learn more