Students are increasingly turning to AI tools for discussion, reflection, and debate, and now campus leaders have an opportunity to shape how it impacts learning. Generic chatbots, custom GPTs, and purpose-built platforms are already in students' pockets. The question for campus leaders is how best to approach AI’s growing role in dialogue in a way that carries the most benefit and the least risk. Your students are already using AI, so where and in what forms should you deploy it on campus?

Our recent white paper, Can AI Teach Dialogue Skills to College Students?, reviewed the emerging evidence on AI in constructive dialogue and identified three roles AI can play: coach, mediator, and conversation partner. Each role carries different benefits and different risks. But before campus leaders weigh which tool fits which role, they need to answer three questions.

Question 1: What specific problem are you solving?

The brief identifies three barriers that prevent students from engaging in constructive dialogue, and each one points toward a different kind of intervention.

The first is social risk.

Dialogue across differences feels reputationally dangerous, especially for students with minority viewpoints, and that risk often pushes students toward silence or disengagement.

The second is the exposure gap. Students naturally cluster with like-minded peers, which means they rarely encounter the genuine disagreement they need to strengthen their capacity for dialogue. The third is the skill gap. Constructive dialogue rests on concrete skills like active listening, perspective-taking, and asking open-ended questions, yet most students never receive structured practice in any of them.

These barriers map onto different AI roles. AI mediators can reduce the friction of live conversations. AI conversation partners can simulate exposure to disagreement. AI coaches can build skills through structured practice and feedback. Defining the problem first prevents campuses from buying a tool that solves the wrong barrier.

Question 2: How will you measure impact?

A common pitfall in dialogue programming is measuring activity rather than outcomes. Logging sessions, counting conversations, and surveying satisfaction are useful, but they don't tell campuses whether students are actually learning. The white paper findings point to three levels of impact worth tracking.

The first is skill performance. Are students measurably better at listening, asking open questions, and articulating perspectives in structured exercises? The second is transfer. Do those gains persist in subsequent unscripted interactions without AI support? Most current studies measure short-term gains within structured exercises, and the question of transfer remains a central research challenge in the field. The third is climate effects. Does participation in AI-supported dialogue increase students' willingness to engage across differences, or improve perceptions of dialogue on campus?

A serious measurement plan addresses all three. Campuses don't need definitive answers before piloting a tool, but they do should consider a few key questions to inform their approach. You can find more information on how to establish measurement in our recent guide.

Question 3: How will you protect student data?

AI dialogue interactions generate a record of how a student thinks about contested topics. That data is sensitive, and the sensitivity rises with the intimacy of the interaction.

A coaching session about how to ask a better question is one thing. A simulated debate that surfaces a student's views on immigration, religion, or politics is another.

For students whose safety or visa status may depend on the privacy of their views, including international students, the mere possibility of data logging can suppress candid participation. The same chilling effect can extend to students from particular political or religious backgrounds, who may already feel they have less room to speak freely on campus.

Before any AI dialogue tool is deployed, campus leaders need clear answers about data governance. Who owns the data? Where is it stored? Who can access it, and under what circumstances? How long is it retained, and can students request deletion? Generic AI tools rarely offer satisfying answers. Purpose-built platforms designed for educational settings can, but only when institutions insist on it.

A starting point, not a deterrent

These three questions should ground AI adoption on campuses. Students are already using AI to rehearse arguments, test ideas, and explore disagreement. The choice for campus leaders has already moved beyond AI or no AI. It's now between AI shaped by institutional intention and AI used in the absence of it.

Asking the right questions upfront gives leaders a foundation to navigate this new reality: which tool, in which role, for which students? The full white paper examines that landscape in depth and offers a framework for matching AI's three roles to the realities of campus dialogue.

Download the full white paper to explore the evidence behind AI's three dialogue roles and learn how to evaluate tools for your campus.