The Artificial Intelligence Disclosure (AID) Framework: An Introduction

TL;DR

This paper introduces the Artificial Intelligence Disclosure (AID) Framework, a comprehensive standard designed to improve transparency and guidance for disclosing AI tool usage in academic and research settings.

Contribution

It presents a novel, detailed framework to standardize AI disclosures, addressing the lack of guidance in current practices.

Findings

Provides a structured framework for AI disclosure in academia

Enhances transparency and consistency in AI attribution

Supports better understanding of AI's role in research and education

Abstract

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.