IB DP Academic Integrity: How to Use AI Tools Without Violating IB DP Rules

IB DP Academic Integrity: How to Use AI Tools Without Violating IB DP Rules

Welcome—this is a clear, human guide for IB Diploma students who want to use AI tools (chatbots, summarizers, image generators and editing assistants) without stepping over the line. If you’re juggling Internal Assessments (IAs), the Extended Essay (EE) and Theory of Knowledge (TOK), you already know that authorship, originality and reflection are at the heart of what the IB assesses. AI can be a brilliant study buddy, but it’s not a substitute for your thinking. Read on for practical, concrete ways to use AI ethically, how to record what you used, and simple templates to keep your work fully compliant with IB expectations.

Why academic integrity matters (and why the IB cares)

The IB expects pieces of assessed work to be genuine evidence of a student’s own thinking and skill. That principle isn’t just bureaucratic: it protects the value of your qualification and, more importantly, it promotes the kind of independent learning the IB wants you to develop. Treating authorship honestly is part of being an IB student, and schools and the IB have policies and procedures to make sure grades are fair for everyone.

What the IB says about AI in learning and assessment

The IB recognises the potential of AI to enhance learning and encourages students and teachers to use it as a learning tool—so long as its use is transparent, ethical and documented. The IB has published resources and explicit guidance that any AI-generated content included in assessed work must be credited and referenced; schools are also advised to teach students how to critique AI output rather than treat it as authoritative.

Quick definitions you should have in your pocket

• Academic integrity: Acting honestly so others can trust your work is genuinely yours.
• Academic misconduct: Submitting work that isn’t your own, failing to reference others properly, collusion, or presenting third-party work as if you produced it. The IB treats these seriously.
• Allowed use of AI: Brainstorming ideas, checking grammar (where language is not being assessed), practice questioning, and rapid summarization—provided you document and edit carefully.
• Not allowed: Submitting AI-produced text or images as your own original work in assessed components without clear acknowledgement and documentation.

Short, practical rules to remember

• If you use AI to produce words, images or data that you include in assessed work, you must credit the tool in the body of the piece and list it in the bibliography. The IB specifically asks for the prompt and the date the AI generated the material to be recorded.
• Using AI to check spelling and very basic grammar is usually acceptable except where language accuracy is being assessed as an objective.
• Raw data, experiment records, and reflective logs should be your own work; you cannot replace original data with AI-created ‘results’. Your supervisor should be able to see evidence of the process you followed.
• If you’re ever unsure, ask your supervisor or coordinator—schools decide how to respond to breaches and can set local rules that align with IB policy.

One useful table: What to do (and how to record it)

Why keeping an AI log matters (and what to record)

An AI log is your best friend if you use AI responsibly. It’s a simple, dated document you keep alongside your project that shows what you asked, what the tool returned, and how you used or modified that output. This log demonstrates transparency: if a teacher or the IB ever has questions, you can show exactly what support you used and how you turned it into your own work. A good AI log includes: the tool name and model, the exact prompt or question, the raw output, the date/time, and a short reflection on how you edited or used the output.

How to handle AI in specific DP components: IA, EE and TOK

Internal Assessments (IAs): keep the process visible

IAs evaluate your subject skills and your ability to conduct authentic work. If your IA requires experimentation, fieldwork, or original analysis, your raw data and your analysis steps must be clearly your own. Using an AI as a brainstorming partner for research design or as a quick way to polish a report’s language (where language isn’t assessed) is acceptable—provided you document that use in your AI log and in any process documentation your school requires.

Practical tips for IAs:

• Preserve original observations and raw data files; never submit an AI-synthesized ‘dataset’ as if it were measured by you.
• When using AI to generate graphs or visualizations from your real data, clearly document the code or prompt used and keep the original data file attached in an appendix.
• If you used AI to rephrase a paragraph, highlight that paragraph in a draft, explain the tool used in your process documentation and then rewrite in your own voice before submission.

Extended Essay (EE): the place for rigorous provenance

The EE is a major piece of independent research and the IB is strict about authorship. You must be able to show how you developed your argument, selected sources, and arrived at conclusions. AI can help with early-stage exploration: quick summaries of background topics, idea-mapping, or identifying potential primary sources to investigate—but it cannot replace your analysis, synthesis, or critical commentary.

Suggested EE workflow when using AI:

• Use AI to generate a list of possible research angles, then vet each suggestion against academic sources yourself; record the prompts and outputs in your AI log.
• If AI returns text you consider including, treat it like any other secondary source: quote it sparingly (within IB guidelines), place it in quotation marks, and cite the tool with the prompt and date in the bibliography. The IB instructs students to reference AI-generated content and record the prompt and the date the text was produced.
• Keep your supervisor in the loop. Supervisors must be able to confirm that the student’s work is the student’s own; transparency here is essential.

TOK: make AI a topic, not a cheat

TOK is a perfect space to interrogate AI. Using AI-generated content as a TOK object—critiquing bias, provenance, or the nature of generated knowledge—makes for lively classroom work and assessment. If you’re discussing AI outputs as part of a TOK presentation or essay, make the AI’s involvement explicit: treat the output as an object to be analyzed rather than a shortcut to an answer. The IB has sample TOK activities and guidance that encourage exactly this kind of critical use.

Concrete citation and acknowledgement formats (simple templates)

The IB asks that AI-generated text, images or graphs included in a piece of work be referenced clearly in the body of the text and added to the bibliography. It also asks that the in-text citation shows the prompt and the date the AI generated the material. Here are student-friendly templates you can adapt for your school’s referencing style:

In-text example (short)

“[Insert AI-generated sentence or short excerpt here]” (ChatGPT; prompt: “[exact prompt]”; generated on [day month, include year in your submission]).

Bibliography / references entry (example)

ChatGPT. Response to prompt: “[exact prompt]”. [Date generated—day month, include year]. OpenAI (or other tool name) [specify model if known].

Appendix note (good practice)

Appendix: AI log (tool, prompt, raw output, date/time, student edits and reflection). Attach as a PDF or plain text file to your submission so the supervisor and IB can review the provenance of any AI-generated material that influenced your work. The IB explicitly says the in-text citation should include the prompt and the date the AI generated the text—so keeping that information is not optional if AI content is included.

Examples and short scenarios (so it’s real)

Scenario 1: The student who used AI to draft a paragraph in the EE

Sophie used an AI to draft a paragraph explaining a statistical method, then submitted it unchanged. That’s risky: the EE must show Sophie’s understanding. Better approach: Sophie uses the AI output as a rough explanation, studies it, rewrites it into her own voice, adds her own interpretation, and records the AI prompt and output in the appendix. If she quotes a phrase verbatim from the AI, she places it in quotation marks and cites the AI as the source. The IB’s guidance says failure to credit AI-generated material is misrepresentation and can be classed as academic misconduct.

Scenario 2: The IA candidate who used an AI to visualize results

Ravi used an AI tool to create a polished chart from his dataset. That is fine if the dataset is his and he explains the prompt/parameters used to create the chart, and attaches the raw data file. If he passed the AI a fake dataset or replaced his original measurements with AI-generated numbers, that would be malpractice. Keep original lab notebooks and time-stamped files so you can prove provenance.

School roles and why teacher guidance matters

Schools have a responsibility to teach academic integrity and to set expectations for AI use. Research shows many students learn about academic honesty in the classroom, but policies and teacher training vary—so clear, locally communicated rules matter. Schools decide how to respond to breaches, but the IB’s overarching requirement is that work submitted for assessment must be the student’s own. It’s a partnership: the IB sets the principle and schools operationalise it.

Supervisor and teacher checklist (quick)

• Explain the school’s AI rules in writing and show examples of compliant acknowledgement.
• Require an AI log for projects where AI was used.
• Ask students to include AI prompts and outputs in appendices where relevant.
• Keep evidence of supervision and drafts (this helps detect misuse and supports authentic learning).

Where to get help and how small supports can make a big difference

If you want tailored, one-on-one help to make sure your IA or EE process is rigorous and compliant, personalised tutoring can support you with structure, citation practice and supervisor-ready documentation. For example, Sparkl‘s personalised tutoring can help students develop clear research plans, maintain proper documentation, and practise ethical rewriting and citation techniques that fit IB expectations.

Similarly, if you prefer help just to learn smart, critical ways to evaluate AI outputs and to build robust prompts (so the tool enhances, not replaces, your thinking), using a tutor for a few sessions can save time and reduce risk in your assessed work. Sparkl‘s AI-driven insights and tailored study plans are examples of support that students can pair with their school’s rules—always keeping the school’s academic integrity policy front and centre.

Common mistakes students make (and how to avoid them)

• Submitting AI-written text as your own: Don’t. Always transform and personalise anything the AI gave you, and document the support.
• Thinking grammar checks are harmless in language-assessed subjects: Not always—language acquisition subjects often prohibit such support.
• Not keeping versions and drafts: Keep dated drafts and drafts with tracked changes so you can show how the work developed.
• Forgetting to record prompts: Recording the exact prompt and output is what makes AI use transparent and defensible.

Final checklist before you submit assessed work

• Have you listed any AI tools used in the bibliography? (Tool name + prompt + date generated.)
• Is your AI log attached and complete?
• Are raw data files, lab notes, supervisor comments and drafts preserved and ready to share if asked?
• Did you transform any AI-generated text into your own voice and thinking?
• Have you checked with your supervisor about any school-specific rules that supplement IB guidance?

Closing thought

AI is changing how we learn, research and create—but the bedrock of IB assessment remains the same: authenticity, critical thinking and evidence of your own intellectual journey. Use AI to sharpen your thinking, not to replace it; log your use carefully; and always be ready to explain how the final product became yours. This approach keeps your work honest, your learning real, and the IB qualification meaningful.