FROM RESEARCH TO PRACTICE
Policy paperAI in higher education: from individual use to responsible practice
Five policy responses mapped by the OECD, evidence limits and an exercise for agreeing a small institutional pilot.
Practical question
What should an educational institution agree before expanding AI use?
The source
Policies supporting responsible and systematic GenAI adoption in higher education
OECD
- Source publication page
Method and scope
The paper synthesises evidence on use, policy documents and institutional guidance, alongside discussions from an expert seminar held on 6 March 2026.
Source findings
It maps five policy responses: responsible-use guidance; compliance and procurement; competency development; evidence collection and pilot evaluation; and specialised higher-education tools. It addresses privacy, integrity, equity, output reliability and skills development.
Evidence limits
This is a policy paper, not a causal trial. Many usage surveys are non-representative, and data have limited comparability across institutions and countries. Widespread use does not establish improved learning.
TAS SUGGESTED ACTIVITY
A 30-minute decision meeting
30 suggested minutes- Select one low-risk use, such as preparing teaching examples with synthetic data.
- Agree its purpose, approved tool, prohibited information, human reviewer and an accessible alternative.
- Record one quality indicator and a review date.
- At review, decide whether to continue, adapt or stop using the recorded observations.
Output: A one-page internal decision note.
A TAS application suggestion; apply the institution’s relevant requirements.
Full reference and editorial note
OECD. (2026). Policies supporting responsible and systematic GenAI adoption in higher education. OECD Education Spotlights, No. 23. https://doi.org/10.1787/c4e5621f-en
This is an independent TAS reading. Featuring a source does not imply a partnership or endorsement by its publisher. The suggested activity is separate from the report’s findings.