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Most schools now use AI to triage applications. Knowing what the model rewards — and penalizes — changes how you write.
More than half of U.S. admissions offices in 2024 used AI to do an initial pass on applications. The models are trained on past admit decisions, which means they reproduce past bias — favoring writing patterns common in well-resourced high schools and penalizing AAVE, code-switching, and ESL phrasing.
Take any draft essay and run it through a plain readability checker (hemingwayapp.com is free). Aim for grade 8-9, lots of short sentences, real verbs. That's what scores high with both humans and the bots.
8 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-builders-ethics-ai-bias-college-admissions-r9a10-teen
What is the main idea of "How AI Reads Your College Application (and What It Misses)"?
Which concept is most central to "How AI Reads Your College Application (and What It Misses)"?
Which use of AI fits this topic best?
What should a careful learner remember about "The rule"?
You want to use AI after this lesson. What is the safest next step?
How should AI output about admissions AI be treated?
Name one way to verify an AI answer about admissions AI.
Which action would help you apply "How AI Reads Your College Application (and What It Misses)" responsibly?