Q&A: How do you shape AI governance in your organization?

AI offers organizations many opportunities, but it also raises new questions. Which data can be used? Who decides which AI pilots move forward? And how do you prevent enthusiasm from leading to fragmentation or unnecessary risk? For this Q&A series on AI & business strategy, readers submitted their own questions. In the first video, Jeroen De Flander, core faculty member at TIAS, discusses AI governance: the framework that enables organizations to experiment, learn and scale responsibly.

In this video, Jeroen answers questions such as: how should organizations approach data in the context of AI? His advice is not to treat data as a black-and-white issue, but to work with three categories: open information, information that requires some level of protection and strictly confidential data. He also discusses how organizations can decide which AI pilots deserve to be developed further. According to Jeroen, this requires clear selection criteria, ownership from the business and a governance approach that supports innovation while maintaining control.

Webinar AI Strategy: from buzz to business

Interested in this topic? You can also watch Jeroen De Flander’s webinar on demand: AI strategy: from buzz to business.

Take the next step in AI and strategy

Want to better understand how AI, data and technology can create value for your organization, and how to use them responsibly? Explore the AI, Data & Tech programs at TIAS. These programs help professionals develop expertise in AI, data and technology, and connect digital innovation to the broader context of business and society.

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