The Keystones Of Responsible AI: Explainability And Visualizations Intelligent Data Exploration podcast

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Intelligent Data Exploration «
The Keystones of Responsible AI: Explainability and Visualizations

3y ago 41:26

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The future is no-code or low-code, but as more and more companies implement AI solutions and enable non-technical users, how do you maintain accuracy and responsible use?

The answer: explainable AI paired with multi-dimensional visualizations. These combined provide a more complete picture of the story playing out in a predictive system and are a must for ensuring responsible AI applications.

Join Caitlin Bigsby, Head of Product Marketing, as she sits down with Virtualitics’ Co-Heads of AI, Sarthak Sahu, and Aakash Indurkhya to discuss ways to incorporate visualizations into the ML lifecycle and key considerations.

Chapters

1. Introduction (00:00:00)

2. The Importance of Exploration (00:09:54)

3. Exploring for More Responsible AI (00:16:45)

4. Exposing the Mechanisms of AI (00:22:37)

5. What Stakeholders need to know BEFORE (00:26:02)

6. Why Context for the User is Necessary (00:30:11)

7. Why Context Makes AI More Responsible (00:34:20)

46 episodes

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