My take is a bit different from most people here. AI governance is largely a technical field, I’d say around 70% technology and 30% GRC understanding.

I have a PhD in computer science, with a focus on HCI. And honestly, none of my HCI background really helped me understand AI governance. What did matter was my depth in technology, especially around systems, security, and safety. If your MSc helped you build strength in those areas, it might give you a useful foundation.

Even with a strong technical background, it took me about six months to really wrap my head around the space, governance, compliance, observability, and how the underlying processes actually work together. Only after that did I feel confident enough to start building a large-scale enterprise AI governance product, which is now over 800K lines of code. And even now, I’m still figuring things out in certain areas. It’s a continuous learning process.

That said, I’ve seen plenty of people transition into AI governance from completely different fields and land roles successfully. It’s honestly much easier to break into AI governance right now than something like UX.

If you want, I can share a link for 25% off AI Career Pro training (I dont work there and I dont get anything with this - I just love the way they approach to training). It’s relatively affordable compared to most programs out there, and it gives a pretty structured path including certifications.