# The Artificial Intelligence Disclosure (AID) Framework: An Introduction

arXiv: https://arxiv.org/abs/2408.01904 · HTML: https://mlsanity.com/paper/2408.01904/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 4 Aug 2024.

## Built on by (most cited first, 3 of 3)

- ["If You're Very Clever, No One Knows You've Used It": The Social Dynamics of Developing Generative AI Literacy in the Workplace](https://mlsanity.com/paper/2602.01386/) (2026)
- [A Faceted Proposal for Transparent Attribution of AI-Assisted Text Production](https://mlsanity.com/paper/2604.25346/) (2026)
- [Generative AI and linguistic diversity in academic writing and publishing: Perspectives from World Englishes](https://mlsanity.com/paper/2607.28505/) (2026)

## Abstract (arXiv)

As the use of Generative Artificial Intelligence tools have grown in higher education and research, there have been increasing calls for transparency and granularity around the use and attribution of the use of these tools. Thus far, this need has been met via the recommended inclusion of a note, with little to no guidance on what the note itself should include. This has been identified as a problem to the use of AI in academic and research contexts. This article introduces The Artificial Intelligence Disclosure (AID) Framework, a standard, comprehensive, and detailed framework meant to inform the development and writing of GenAI disclosure for education and research.