Unpacking data governance and stewardship in the age of AI | GovLab

Leading the Shift: AI innovation talks with Microsoft Azure

AI technologies are some of the most sophisticated and powerful we’ve seen in our lifetimes. With data at the center, this transformative shift brings both the potential to solve complex problems and new challenges around managing sensitive information. Join us for a deep dive into innovative strategies that will reshape how you think about data governance in the age of AI. Stefaan Verhulst, PhD, Co-Founder, Chief Research and Development Officer, and Director of Data Program at GovLab, shares his expertise around the intricacies of data governance and the evolution of data stewardship. Susan and Stefaan discuss the importance of data commons, the concept of social license, examine the opportunities and risks of synthetic data, and explore the fourth wave of open data, where generative AI democratizes access to data.

⁠Watch this episode on YouTube >⁠⁠

Guest: ⁠⁠Stefaan Verhulst, PhD⁠⁠ | Co-Founder, Chief R&D Officer, Director of Data Program - GovLab

Related: ⁠⁠Inquiry as Infrastructure: Defining Good Questions in the Age of Data and AI⁠

Related: ⁠Why Responsible Data Access will determine the Future of AI: The Increased Importance of Data Commons⁠

Get more ⁠⁠innovation insights⁠⁠ from ⁠⁠Microsoft Azure⁠⁠.

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Host: ⁠⁠Susan Etlinger⁠⁠

The Leading the Shift podcast is a place for experts to share their insights and opinions. As students of the future of technology, Microsoft values inputs from a diverse set of voices. That said, the opinions and findings of our guests are their own and they may not necessarily reflect Microsoft's own research or positions.

บท

1. Introduction (00:00:00)

2. Data governance (00:01:24)

3. Data reuse (00:04:02)

4. Public vs. private data (00:06:19)

5. Data collaborations and data commons (00:09:25)

6. Unstructured data (00:20:37)

7. The fourth wave of open data and gen AI (00:26:33)

8. Data stewardship (00:33:26)

9. Advice for leaders (00:38:00)

10. Conclusion and key takeaways (00:42:30)