Share Your Input: AI Education Research Principles
As AI becomes more widely used in education, researchers are not only studying its impact in schools but also using AI for research activities like coding data, generating test items, conducting analysis, and drafting reports. Yet while there is substantial guidance on AI in classrooms, far less supports its responsible use in education research itself.
To address this gap, AIR’s AI Education Research Principles Design Lab convened researchers, industry leaders, and funders to develop shared, adaptable principles that apply across research types and stages. The aim is to complement existing research standards by promoting transparency, trust, and ethical, high‑quality use of AI—maximizing benefits while minimizing risks.
Draft for Public Comment: Principles for the Use of Artificial Intelligence in Education Research
AIR conducted a public comment process to gather input from the education research community. The comment period closed on May 8, 2026. All feedback is under review, and revisions will address the most common and relevant themes.
This brief shares results from a collaborative Artificial Intelligence Principles for Education Research Design Lab facilitated by the American Institutes for Research® (AIR®) between December 2024 and December 2025. Recognizing the need for shared understanding and collaboration, this brief reflects contributions from many organizations and perspectives. All contributors agree that AI holds promise for education research and that the field has a responsibility to use it appropriately and ethically.