• 08:00

    WELCOME & INTRODUCTION

  • 08:05

    Understandable, Transparent and Interpretable Results in Machine Learning

  • 08:20

    Developing Contextual Design to Build Trust in Models

  • 08:35

    From Explainable Techniques to Organizational Ethics

  • 08:50

    Reducing the Performance vs Explainability Pay Off

  • 09:05

    BREAKOUT SESSIONS: Roundtable Discussions with Speakers

  • 09:45

    PANEL: Strategies for Moving Towards Explainability by Design in Order to Future Proof AI and Effectively Solve Real World Problems

  • 10:25

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

  • 11:00

    END OF SUMMIT

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