AI policy for a financial accounting course, with examples

Sample AI syllabus policies for financial accounting at three levels of use, with clauses for journal entries, statements and disclosure.

Short answer: in financial accounting, students learn by repetition: recording transactions, preparing adjusting entries and building statements until the logic is automatic. An AI tool can do much of that practice for them, and they will not find out until the closed-book exam. Your policy should say which practice students must do themselves, how they show their work, and where AI help is fine. Pick one of the three policies below, then add the accounting-specific clauses that fit your course.

What makes financial accounting different

  • The course is built on foundational, procedural skills. A 2025 study of 18 assessments across six courses in an undergraduate accounting program found ChatGPT effective on lower- to mid-level learning tasks and of limited use on higher-order ones (Tharapos et al., 2025). An introductory financial accounting course is mostly the first kind, so a student can hand off a large share of the homework.
  • AI is uneven across accounting tasks, but do not count on that. A study of eight educational accounting cases found ChatGPT (versions 3.5 and 4) did better on explanation, applying rules and ethical evaluation, and relatively poorly on financial statement creation, journal entries and software use (Cheng et al., 2024). Those models were tested in 2023, and newer tools are likely better, so treat journal entries as harder for AI, not AI-proof.
  • Homework is usually practice for a closed-book exam. If homework carries little weight and in-person exams carry most of it, a student who lets AI do the practice finds the gap at exam time. The policy is as much about learning as about integrity.

Three sample policies

Copy the one closest to your course and edit the bracketed parts.

1. No generative AI on graded work

Generative AI tools (for example ChatGPT, Claude, Gemini or Copilot) may not be used on homework, quizzes, cases or exams in this course. Recording transactions, preparing adjusting entries and building financial statements yourself is how you learn the accounting cycle, and these tools skip that practice. You may use the textbook, lecture notes, [the online homework system’s hints], classmates [if allowed] and office hours. If you are unsure whether something is allowed, ask before you submit.

2. AI for studying, not for submitted work

You may use generative AI tools to study: to explain a concept such as accrual versus cash accounting, to create extra practice transactions, or to check your understanding after you have attempted a problem. You may not use them to produce journal entries, schedules, statements or written answers that you submit. Your submitted work should show each step: the accounts affected, the amounts and the reasoning. If you used an AI tool while studying for an assignment, add one sentence at the end saying how.

3. AI allowed with disclosure

On [homework / the case project], you may use generative AI tools if you disclose it. For each assignment, list the tool, what you used it for and the key prompts. You are responsible for every entry and figure you submit: check that debits equal credits, that the accounts are classified correctly and that the statements tie together. Written analysis must be in your own words. AI use is not allowed on [quizzes / exams], which are where your understanding is assessed.

Clauses worth adding for financial accounting

  • Explain-your-entry check. “I may ask you to explain any entry or figure in your submission, including which accounts it affects and why. If you cannot explain it, it will be treated as work that is not your own.”
  • Show the reasoning, not only the entry. For key problems, ask students to state in a sentence why the transaction is recorded the way it is (for example, when revenue is recognized). It is quick to grade and hard to outsource well.
  • What to disclose. Name the tool, what it was used for and the prompts that shaped the answer. Teaching centers commonly recommend asking for this kind of record (KU CTE).
  • Course materials. If you use a publisher’s homework system or test bank, say that its questions may not be pasted into an AI tool.
  • Do not build the policy on detection. The same 2024 study found that the detection tools from ChatGPT’s developer did not reliably identify AI-generated text (Cheng et al., 2024). In-class work and short oral checks are more dependable.

Write yours in a few minutes

The free AI policy generator asks a few questions about your course and assessments and produces a policy you can paste into your syllabus.

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