EDTECH: What drove Utah to create this role?
WINTERS: It started out of visionary leadership. Our state superintendent and deputy superintendent when I was hired, and our new superintendency are big proponents of educational technology, and they had started prioritizing AI. They recognized how fast this conversation is because it's a technology that's not idiosyncratic. It's in everything, and we have to have somebody navigating that full time.
As written, my role is three parts. I work with legislative and policy stakeholders. I have standing meetings with legislators about AI. I work with our Office of AI Policy, which is also the first of its kind in our Department of Commerce. I do a lot of outreach with national nonprofits and organizations.
Second, I work with our districts and charter schools to make sure that they're trained and have the support they need, but I also help their leadership to navigate policy conversations. We're starting to see some good dividends pay out of that.
Third, I do internal professional development. I work with a lot of our internal teams and help them support AI growth and use. I also address what that means for their content areas. That's why the role exists, and I think it's a necessary role right now. I think more states are recognizing how pervasive and problematic this conversation can be, and having somebody at the forefront that's the point person that can work with multiple teams at once is really helpful.
RELATED: Training is key to AI success in K–12 districts.
EDTECH: What is the AI Framework for Utah P–12 Education, and what are its key takeaways?
WINTERS: It was built before I was hired, but what’s great about coming into the role is that it's a living document. Right now, I am trying to do a revision on it because we're starting to see agentic starting to come up, along with a few other kinds of high-profile shifts in how we think about AI, and I know districts are going to need support on those.
I think that's a big takeaway for other states: Make it a living document that's editable and changeable. The framework really outlines, first, the laws and codes that govern the conversation around AI — federally and statewide — but then it digs into appropriate use and offers some resources. It's meant to be, not bare bones, but definitely nondirective for a local education agency so it can make the decisions on what is best for the local community.
A lot of them have taken our frameworks, and I’ve also collected a lot of the frameworks across the state and handed them off to the stakeholders who oversee building those in districts, and said, “Here's what all of your colleagues are doing. Now you have an example, and you can start building something.” This has helped support local agencies that are slower to progress in this kind of ed tech conversation. We’re seeing a lot of growth, and it comes down to the fact that we have a flexible framework that is nonpunitive. It's mostly about figuring out the best way to work this through as a group and get us to a good place.
