Uploaded July 2026 | Updated September 2026, 2 weeks ago
In this episode of INSEAD Explains Governance, Theodoros Evgeniou, Professor of Technology and Business at INSEAD, cuts through the confusion to explain what boards actually need to know about AI, how to assess organisational readiness and what a robust governance framework looks like.
According to Evgeniou, AI governance requires broad AI literacy rather than deep expertise. It also involves building the right policies and processes and, ultimately, retaining human judgment as the final gatekeeper. The right approach will vary considerably depending on the sector, the company’s data infrastructure and how disruptive AI is likely to be for the industry.
More on the INSEAD Explains Governance series on INSEAD Knowledge: https://knowledge.insead.edu/insead-explains-governance
Chapters:
0:00 – What are the major AI dilemmas that should be discussed by the board?
2:16 – What factors do boards need to consider to oversee a successful AI transformation?
3:30 – How do boards balance short-term incentives with long-term changes related to AI?
5:35 – How can boards set the right guardrails for AI transformation?
7:43 – How can boards stay informed on the topic of AI and ensure they ask the right questions?
In this episode of INSEAD Explains Governance, Theodoros Evgeniou, Professor of Technology and Business at INSEAD, cuts through the confusion to explain what boards actually need to know about AI, how to assess organisational readiness and what a robust governance framework looks like.
According to Evgeniou, AI governance requires broad AI literacy rather than deep expertise. It also involves building the right policies and processes and, ultimately, retaining human judgment as the final gatekeeper. The right approach will vary considerably depending on the sector, the company’s data infrastructure and how disruptive AI is likely to be for the industry.
More on the INSEAD Explains Governance series on INSEAD Knowledge: https://knowledge.insead.edu/insead-explains-governance
Chapters:
0:00 – What are the major AI dilemmas that should be discussed by the board?
2:16 – What factors do boards need to consider to oversee a successful AI transformation?
3:30 – How do boards balance short-term incentives with long-term changes related to AI?
5:35 – How can boards set the right guardrails for AI transformation?
7:43 – How can boards stay informed on the topic of AI and ensure they ask the right questions?
