AI writing tools are on every student's computer, and they're already showing up in scholarship essays. At many foundations, though, the rules haven't caught up. Volunteers, donors, and counselors read essays on their own time, and each brings a different idea of what's acceptable: a little AI, a lot, or none at all. Without a written rule, the reader ends up making the policy.
In this on-demand session, Reviewr walks K-12 and education foundations through five practical moves for applying one fair AI rule to every student: decide the rule before students apply, ask for what only the student knows, put every reviewer on one weighted rubric, run one process for every flag, and keep one record of how every scholarship was decided. The same moves apply to grant and award programs.
The session opens with a question for the live audience: when a reviewer thinks an essay sounds like AI, what does your foundation do? Drop a few points? Raise it with the committee? Answers ranged from "foundations know students are using it, so acknowledge it and move on if there are no better applicants" to "nothing in place." Most programs sit somewhere in between, acting on it sometimes and not others.
The numbers show why that gap matters. Between October 2025 and February 2026, about 15% of essays checked by Turnitin's AI detection were 80% or more AI-written (Turnitin AI Writing Detection Data). And a 2025 Kaplan survey found 68% of college admissions offices had no written policy on applicants using AI for their essays. Foundations are fielding the same questions: judges asking whether to take points off, students asking whether AI is allowed even to check spelling, parents asking why their student scored lower, and donors asking whether the student you picked actually wrote the essay.
The session frames all of this through Review Integrity, a five-dimension standard for running a fair, defensible review process, from what you ask applicants to how each cycle informs the next: Intake Proportionality, Rubric Clarity, Reviewer Calibration, Decision Traceability, and Loop Closure. It goes deepest on Rubric Clarity and Decision Traceability.
1. What it costs when there's no written rule. Without a written AI rule, each reader decides on their own, and that costs your program in three ways. The first is fairness to students: two similar essays, read by two reviewers, can get two different outcomes if one reviewer disqualifies any AI use and the other takes off a few points. The second is your answer to families: "this judge disqualified it, and that judge didn't" isn't an explanation a parent will accept. The third is donor confidence: donors keep funding scholarships when they trust that decisions are consistent and in students' best interest, and a program without a clear, defensible procedure gives them a reason to look elsewhere. With build-out for the next cycle starting months before applications open, the time to settle your approach is before you build the form.
2. Move 1: Decide your AI rule before students apply (Rubric Clarity). Settle your AI policy at the same leadership or board meeting where you set the program's goals, and publish it before the application opens. Because no detection tool, Reviewr's included, is 100% accurate, the session recommends setting a clear threshold rather than relying on a yes-or-no judgment: a low threshold for a program that wants to hold the line on AI, or a somewhat higher one if your program allows limited assistance. Be transparent that AI detection will be used, and add a required acknowledgment so every student confirms the policy before continuing. That acknowledgment gives reviewers a shared standard and gives you documented proof that every applicant knew the rule.
3. Move 2: Ask for what only the student knows (Rubric Clarity). Review your prompts, and use past years' reports to see which questions produced the strongest answers. Then rewrite generic prompts into personal ones. Instead of "Describe your goals for the future," ask "Tell us about one class, job, or moment in the community that changed what you want to do next." A prompt like that draws a better answer from the student, is much harder for AI to answer convincingly, and makes it easier for reviewers to tell whether a response is personal.
4. Move 3: Put every reviewer on the same weighted rubric (Reviewer Calibration). Start with a rubric, if your program doesn't have one yet, that lines up question by question with the application, so judges can score each answer directly without guessing. Bring donors into the conversation so the criteria reflect the purpose behind their gift. And hide applicant names: at small-town education foundations, board members often know the students, and even the most careful reviewer can't fully set that aside. Reviewr can redact identifying information so it stays in your records and visible to admins, but hidden from judges.
5. Move 4: One process for every flag (Reviewer Calibration). An AI detection flag starts a closer look, and people make the call. When Reviewr flags a submission and shows the percentage of AI detected, the reviewer reads the application, considers whether the flag holds up or could be a false alarm, and compares it with your written policy. Admins step in to help make the final decision, so a single judge isn't deciding alone. Then note which questions draw the most flags, and use that to strengthen next year's prompts.
6. Move 5: Keep one record of how every scholarship was decided (Decision Traceability). Every question, applicant, judge, and score in Reviewr can be downloaded in a report. Click into any application to see the score it received, the judges' comments, and any files or notes attached. When donors or parents ask why a decision was made, you have a defensible record on hand, and the same reports show what to improve for the next cycle (Loop Closure).
Reviewr is an application management platform founded in 2011 by a team who had lived through application processes that didn't work for anyone involved, from applicants to admins to judges. Today it runs scholarships, grants, awards, competitions, and calls for entries for K-12 foundations, community foundations, schools, associations, credit unions, and more. Applications, judging, and reporting all live in one place, and every account gets a dedicated one-on-one Reviewr team member for support.
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