AI Disclosure for Undergraduate Research Papers

Undergraduate researchers need a paper trail too

Undergraduate research has a strange AI problem.

Students use AI tools early. They ask for reading lists, code help, summaries, poster titles, grammar edits, interview questions, and slide outlines. Then the project moves fast. By the time the abstract goes to a student research day or a journal, nobody remembers what happened in February.

That is where disclosure breaks down.

An [AI disclosure](/how-to-disclose-ai-use-for-neurips-icml-and-acl-submissions/) for an undergraduate research paper does not need to sound legalistic. It needs to tell a reader what tool you used, what you used it for, where it affected the work, and who checked the result.

If you want a structured way to do that, generate an [[AI Usage Card](/ai-disclosure-for-social-science-research/)](/) before you submit. You can attach the card to a project file, paste its text into an appendix, or turn it into a short disclosure statement for a poster, honors thesis, or student journal article.

Why undergraduate AI use deserves its own guidance

Most AI disclosure advice speaks to faculty authors, journal editors, or PhD students. Undergraduate projects work differently.

A student may use AI under the advice of a supervisor, but the student still writes the paper. A group may share one ChatGPT thread across a capstone project. A methods section may contain code that one student drafted and another student edited. A research poster may leave no room for a full disclosure note.

The authorship rules do not change because the author is an undergraduate. COPE states that AI tools cannot qualify as authors because they cannot take responsibility for a submitted work. (publicationethics.org) The Council of Science Editors gives the same basic rule: machine learning and AI tools should not appear as authors because a non-human cannot answer for the accuracy, integrity, and originality of the work. (councilscienceeditors.org)

So the student author remains the author. The supervisor remains responsible for supervision. The AI tool remains a tool.

That sounds simple. In practice, students need a record.

For a broader introduction, start with What Are AI Usage Cards? and Do I Need to Disclose AI Usage in My Paper?. This article focuses on the undergraduate case: short projects, mixed teaching and research settings, and early research training.

What undergraduate students should record

A good disclosure starts with facts. Not feelings. Not a defense.

Record the tool name and version if you know it. Record the date range. Record the task. Record whether the tool touched text, code, data, images, translations, literature search, or analysis.

A student might write:

"I used ChatGPT on 12 March 2026 to generate possible search terms for a literature review on urban heat islands. I checked the final search terms against the databases named in the methods section. I did not use ChatGPT to select studies or summarize results."

That sentence tells the reader enough.

Compare it with this:

"AI was used to improve the manuscript."

That sentence hides the work. It does not tell the reader whether AI changed the argument, the methods, the data, or the language. It also gives a supervisor nothing useful to check.

The AI tools for research disclosure log template gives you a simple way to track this during the project instead of reconstructing it at the end. Undergraduate teams should keep one shared log in the project folder.

What supervisors should ask before submission

Supervisors do not need to ban AI to teach good research practice. They need to ask better questions.

Ask the student what tool they used. Ask what went into the tool. Ask what came out. Ask how they checked the output. Ask whether the tool processed any private, restricted, copyrighted, unpublished, or participant data.

That last question matters.

If a student pasted interview transcripts, classroom records, survey responses, grades, field notes, or unpublished lab data into an AI system, the issue may go beyond disclosure. It may involve consent, data protection, research ethics, or institutional policy.

For student records in the United States, FERPA protects personally identifiable information in education records. The U.S. Department of Education says researchers using FERPA-protected information need proper disclosure avoidance methods and de-identification practices. (studentprivacy.ed.gov) FERPA regulations also describe when de-identified student-level data may be released for education research. (ecfr.gov)

Human participant projects add another layer. HHS describes the Common Rule as the federal policy for protecting human subjects, and OHRP explains that Subpart A of 45 CFR 46 contains the basic HHS policy for human subject research. (hhs.gov)

If the project involves participants, student data, interviews, health information, or classroom materials, read AI Disclosure for Education Research and check your institutional review board guidance before using an external AI tool.

What to disclose in common undergraduate projects

Undergraduate projects vary, but the disclosure logic stays the same.

For a literature review, disclose AI use for search term generation, article triage, summary drafts, translation, or reading notes. If AI helped screen sources, explain how the student checked the screening.

For a lab report, disclose AI use for code, figure captions, statistical explanation, or manuscript editing. Do not let the disclosure suggest that the tool ran the experiment.

For a qualitative project, disclose AI use for interview guide drafts, transcript cleaning, coding suggestions, memo writing, or theme naming. If AI touched participant data, name the data handling safeguards. The guide on AI disclosure for qualitative research goes deeper on this.

For a poster, use one short disclosure line. Put the fuller record in the project file or poster supplement.

For an honors thesis, use a fuller note in the methods, acknowledgments, or appendix. The AI disclosure thesis guide offers examples that students can adapt.

For student journal submissions, follow the journal. ICMJE recommends that authors disclose AI-assisted technologies at submission and describe how they used them in the cover letter and the submitted work. ICMJE also says chatbots and other AI-assisted tools should not appear as authors. (icmje.org)

A simple undergraduate disclosure template

Students often freeze when they see the word "disclosure." A template helps.

Use this structure:

Tool. Task. Material entered. Output used. Human check.

A concise statement can look like this:

"During preparation of this undergraduate research paper, I used ChatGPT to suggest alternative phrasings for the introduction and to identify possible keywords for database searches. I did not enter participant data, unpublished results, or identifiable student records into the tool. I reviewed all AI-assisted text and take responsibility for the final manuscript."

For a group project:

"Our research team used Microsoft Copilot to draft Python comments and troubleshoot error messages during data cleaning. The final code was reviewed by the student authors and tested against the procedures described in the methods section. The AI tool did not analyze the data or generate the reported findings."

For a poster:

"AI disclosure: The authors used Claude to edit poster text for clarity. The authors checked all content and take responsibility for the final poster."

These examples do not excuse weak work. They document how the work happened.

If you need more examples, see AI Usage Cards Examples and Templates and How to Disclose ChatGPT Usage in Academic Papers.

Where to put the disclosure

Placement depends on the venue.

For a class paper, put the disclosure after the acknowledgments or before the references unless the instructor gives another rule.

For an honors thesis, use an "AI use disclosure" section in the front matter, acknowledgments, methods section, or appendix. If the tool affected analysis, the methods section makes more sense than the acknowledgments.

For a poster, put a short note near the acknowledgments, funding, or methods panel. You can also include a QR code that links to a full AI Usage Card.

For a student journal article, follow the journal instructions. Some publishers ask for a named declaration section. Elsevier journal guidance, for example, tells authors who used generative AI or AI-assisted technologies in the writing process to add a declaration before the references, while basic grammar, spelling, and punctuation checks do not require a declaration. (sciencedirect.com)

If the policy says something different from this article, follow the policy.

LaTeX snippet for an undergraduate thesis or paper

If you write in LaTeX or Overleaf, add a short disclosure section near the acknowledgments or appendix. You can also paste text from your AI Usage Card.

\section*{AI use disclosure}
 
During preparation of this undergraduate research paper, I used
ChatGPT to suggest search terms for the literature review and to
revise selected sentences for clarity. I did not enter participant
data, identifiable student records, unpublished results, or confidential
materials into the tool.
 
I reviewed all AI-assisted output, verified the sources and claims used
in the manuscript, and take responsibility for the final text, analysis,
and conclusions.

For a longer project, store the full card in an appendix:

\appendix
\section{AI Usage Card}
 
This appendix contains the AI Usage Card generated for this project.
The card records the tools used, dates of use, tasks supported, material
entered into the tools, outputs used, and human checks performed by the
student author.

The LaTeX Tutorial for AI Usage Cards and the Overleaf guide show how to format this cleanly.

A note on acknowledgments

Students often want to thank AI tools. Do not do that.

A disclosure statement works better than an acknowledgment. An acknowledgment can make the tool sound like a contributor. A disclosure tells the reader how the tool affected the work.

If a student wants to mention support from a writing center, librarian, statistician, supervisor, or peer reviewer, that belongs in the acknowledgments. If the student used AI, put that in an AI use disclosure or attach an AI Usage Card.

The line is easy to remember: thank people, disclose tools.

What undergraduate programs can standardize

Departments can help students by asking for the same basic record in every research course.

One page is enough. Ask students to record the tool, date, purpose, input, output, and verification. Ask them to state whether they entered sensitive data. Ask them to confirm that they did not list an AI tool as an author.

This teaches habits that students will need later in graduate school, publishing, peer review, and grant writing. It also gives supervisors a fair way to evaluate work. A student who used AI to fix grammar did something different from a student who used AI to generate the analysis plan.

For projects that move toward publication, the record can become a journal-ready disclosure. For projects that stay inside a course, the record still teaches research integrity.

The larger case for this practice appears in Why AI Transparency Matters in Research and AI Ethics and Documentation in Academic Research.

Make the record before you forget

The best AI disclosure is boring because it is specific.

It says what happened. It says what did not happen. It shows who checked the work.

Undergraduate researchers should not wait until submission week to write that record. Supervisors should ask for it early, especially when students handle participant data, classroom data, code, images, or unpublished findings.

Generate an AI Usage Card at ai-cards.org when the project starts, update it before submission, and paste the final text into your paper, poster, thesis, or appendix. A small record now can save a long explanation later.