Budapest (UTC+1 winter / UTC+2 summer)
90 Minute
HALL B
Artificial Intelligence (AI) is rapidly transforming higher education and poses both opportunities and challenges for student assessment in dentistry. As dental schools seek to balance innovation, academic integrity, assessment validity, and professional accountability, there remains a lack of internationally agreed guidance on the appropriate use of AI in undergraduate dental assessment.
This interactive session will present findings from three interconnected workstreams informing the development of an international policy framework for AI in dental assessment:
- A scoping review of the current evidence on AI in undergraduate dental education assessment.
- An international policy scan examining existing institutional and regulatory approaches to AI governance in assessment.
- Preliminary findings from an international Delphi consensus study involving dental educators, assessment leaders, policymakers, digital education experts, and students.
Participants will explore emerging areas of consensus and debate, including academic integrity, authorship and disclosure, assessment validity, clinical competence assessment, governance, staff and student training, and the appropriate use of AI across different assessment formats.
The research study has received ethical approval from the RCSI Research Ethics Committee (REC Ref: 202507001). The study is being conducted in accordance with established standards for educational research, participant engagement, and data protection.
The session will conclude with a facilitated discussion and live consensus exercise. Attendees will be invited to contribute to the final stage of framework development through participation in the consensus process. Participation in this component of the session will be entirely voluntary and subject to informed consent procedures. Participants may choose not to participate or may withdraw from the consensus exercise at any stage without consequence.
This session aims to foster international collaboration and support the development of evidence-informed, transparent, and educationally sound policies for the responsible integration of AI in dental student assessment.








