If you run an awards program, you’ve probably caught yourself wondering whether AI helped write an entry. That guessing game is only going to get harder. This post describes a simple way to decide what your program permits, what it asks applicants to disclose, and what it disqualifies, plus how to share the policy with applicants and judges before your next submission window opens.
How to Set an AI Policy for Your Association’s Awards Program
To set an AI policy for your awards program, base it on three rules: permit AI help with grammar and editing, require disclosure when AI shapes the substance of an entry, and disqualify fabricated facts or invented data. Share the policy with applicants and judges before your next submission window opens
Why AI-Generated Entries Are a Trust Problem for Association Awards Programs
Awards programs run on trust. Applicants trust judges will read their story closely. Judges trust the story in front of them is real. Members and the public trust the person or company on stage earned it. Undisclosed AI content erodes all three kinds of trust, and eroded trust is hard to regain.
In an awards-industry survey by the United Kingdom (UK)’s Independent Awards Standards Council, judges and organizers estimated about one-third of 2025 entries appeared significantly AI-generated. Only 43% of awards programs had an AI policy, and just 14% filtered for AI-generated content.
What happens if your “Member of the Year” winner gets accused, months later, of submitting an AI-generated application? Peers grumble, committee and board members ask uncomfortable questions, and you have no policy to point to.
Plenty of your applicants already use AI at work, the same way they use spell-check, which makes it hard to draw a clean line. Without a written policy, judges make the rule up entry by entry, and an applicant’s fate can hinge on which judge happens to score their entry.
Decide What Your AI Policy Should Permit, Require Disclosure on, and Disqualify
What AI Use to Permit
Let AI help with grammar, spelling, clarity, translation, and formatting. Chances are, plenty of your applicants already run their work emails and reports through an AI editor without a second thought. Brainstorming and outlining with AI are fine too.
Be generous here. A blanket ban is nearly impossible to enforce and punishes the people who would be upfront about their AI use.
What AI Use to Require Disclosure On
Ask for disclosure when AI does more than polish: when it drafts substantial passages, shapes the narrative, generates images, or produces supporting video or audio content. With a short disclosure line on the entry form, applicants put their AI use on record, so a false disclosure becomes a clear violation.
What AI Use to Flag or Disqualify
Fraud is the biggest integrity risk your AI policy needs to guard against. Develop a process to detect fabricated results, invented data, made-up quotes, and hallucinated citations.
The same goes for a fully AI-generated entry submitted as original personal work, especially in categories built around individual achievement. Judges are scoring a person’s record and accomplishments, and authenticity shapes how much they trust what they’re reading. Hiding an entry’s real origin cuts into that trust.
An applicant might submit an essay with a moving personal story and supporting statistic. Say you can’t source the statistic or verify the story’s details. You don’t need an AI detector to call that a fabrication, AI or not.
How to Handle AI Detection When the Tools Don’t Work Well
Detecting AI use reliably isn’t possible right now, even with the best tools. In May 2026, the Commonwealth Short Story Prize’s winning entry scored as 100% AI-generated on a widely used detection tool. After review, the prize’s organizer stood by the story, though the questions haven’t fully gone away.
Treat a detector score as a starting point for a closer look. Ask the applicant for specific details and verifiable outcomes. Consider requiring a short finalist interview. A conversation should clear things up quickly.
Communicate the AI Policy Effectively
Put your policy where applicants will see it: in the submission guidelines, above the disclosure checkbox on the entry form, in your frequently asked questions (FAQ) section, and in the confirmation email.
Use plain language: “We welcome AI help with grammar and clarity. Please tell us if AI shaped your content. We don’t accept fabricated results.” Make honest disclosure an easy choice with a short disclosure checkbox on the application form.
Brief your judges too. The UK survey found that many judges didn’t recall seeing the AI policy even when their program had one. Send judges the policy itself and tell them what to do and whom to alert when they suspect AI, so every judge handles suspected cases the same way.
When you add a disclosure checkbox to the application and provide a short briefing note to judges, suspicions about AI use will drop because everyone knows the rules going in.
Anticipate Hard Questions About AI Use in Awards Programs
Isn’t banning AI more fair? Usually not, and it’s nearly impossible to enforce. Permit assistive use and save your energy for policing fabrication and dishonesty.
What if judges want AI’s help evaluating entries? AI can create summaries for a judge, but the score and final call should remain theirs. Never put confidential entry content into a public AI tool. Some award platforms, like OpenWater, now let administrators run AI analysis inside the system and route insights straight into judge views, so judges get that support without pasting entries into an outside chatbot.
Does this AI issue affect other programs? Yes. Scholarships, grants, and abstracts face the same pressure. The National Institutes of Health no longer accepts grant applications substantially developed by AI, and a growing number of conferences require an AI disclosure section in every abstract.
Plan for Your AI Policy to Evolve
Treat this first version of your policy as a starting point. Revisit it every cycle to review what judges flagged and what confused applicants.
Document every disqualification decision and apply your policy consistently so a rejected applicant can’t argue you were biased. Keep separate rules for how your own staff and judges use AI with confidential submission data, since that’s a different type of risk.
Somewhere in next year’s entries is an applicant who used AI to fix their grammar and told you honestly about it. A clear AI policy means that person competes on merit instead of losing out to someone who faked it.
OpenWater’s awards and judging platform helps you build disclosure prompts, AI-assisted review, and consistent judge workflows into your program from the first entry to the final score. Schedule a personalized demo to see it in action.