📋AI Disclosure Policy - Document Viewer
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📋 AI Disclosure Policy (AIDP)

Official Guidelines of the AI Club MC

1Purpose and Philosophy

The purpose of this Disclosure Policy is to establish a transparent, ethical, and rigorous framework for the use of Artificial Intelligence in academic and creative work. At AI Club MC, we believe that AI should serve as an "Exoskeleton for the Mind"—enhancing human capability without replacing human accountability.

Transparency is the foundation of academic integrity. By disclosing the use of AI, students demonstrate their ability to collaborate with modern technology while taking full ownership of their final intellectual product.

2The Universal Rule of Disclosure

Any interaction with an AI model that contributes to a graded or published work must be disclosed.

This includes, but is not limited to, brainstorming, outlining, drafting, coding, and editing. Failure to disclose AI assistance is considered a violation of academic integrity, equivalent to plagiarism.

3Levels of AI Involvement

To provide clarity, users must categorize their AI usage into one of the following levels:

Level 1Minimal Assistance(Ideation & Grammar)

Used for spell-checking, minor grammar corrections, or generating a list of broad topics.

Level 2Structural Augmentation(Outlining & Research)

Used to organize thoughts into a logical outline or to summarize existing research papers (provided the research itself is verified).

Level 3Generative Collaboration(Drafting & Metaphors)

Used to generate specific sentences, creative metaphors, or segments of code that are integrated into the human-written work.

Level 4Technical Execution(Data Analysis & Debugging)

Used to write complex scripts, analyze large datasets, or identify logic errors in code.

4Documentation Requirements

Students are required to maintain an "AI Audit Trail" for every project. This trail must include:

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    Model Name and Version: (e.g., Gemini 1.5 Flash, GPT-4o, Claude 3.5 Sonnet)
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    Specific Prompts: The exact text input provided to the AI.
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    Raw Output: The original response generated by the AI before human editing.
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    Date of Interaction: To account for model updates and changes.

5Formal Citation Standard

Whenever AI-generated content (text, code, or images) is included in a document, it must be cited both in-text and in a dedicated "AI Usage Appendix."

Standard Citation Format:

[Model Name], Prompt: "[Full text of the prompt]", Output: "[Specific segment used in the paper]"

Example (Creative Writing):

"The sky was a bruised purple, like a secret kept too long."
Citation: Claude 3 Opus, Prompt: "Give me a dark, atmospheric metaphor for a sunset," Output: "The sky was a bruised purple, like a secret kept too long."

6Prohibited Actions

To maintain intellectual rigor, the following actions are strictly prohibited:

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Prompt-to-Submission: Submitting a paper or project that is 100% AI-generated with no human intervention.
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Undisclosed Paraphrasing: Using AI to rewrite a source and then presenting that paraphrase as original human writing without disclosure.
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Fictitious Citation: Using AI-generated citations (hallucinations) without verifying that the source actually exists.
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Privacy Violations: Inputting personal data of peers, instructors, or sensitive institutional data into public AI models.

7The Human-in-the-Loop Requirement

The "Human-in-the-Loop" (HITL) principle states that the human author is legally and ethically responsible for the accuracy of the work.

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    Fact-Checking: If an AI provides a "fact," the student must find a secondary, non-AI source to verify it.
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    Logic Review: Students must be able to explain the logic of any AI-generated code or mathematical solution during a viva or review session.

8Enforcement and Review

Educational institutions and instructors reserve the right to:

  • ⚖️Request the full "AI Audit Trail" at any time.
  • ⚖️Compare the student's current work against their "Human Baseline" (previous work known to be written without AI).
  • ⚖️Use AI-detection as a secondary indicator (though not as sole proof) to trigger a conversation about disclosure.

9Conclusion

This policy is not intended to punish the use of technology, but to reward the honest and sophisticated use of it. By following these rules, we ensure that the degree or credit earned belongs to the student, and that the AI remains a tool, not the author.

Published by AI Club MC

AI Disclosure Policy (AIDP)
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