Call for Abstracts
Why Submit?
The summit theme is a collaboration between Cambridge University Press & Assessment and LOGOS, a research-to-impact initiative at the University of Cambridge. LOGOS's mission is to conduct and use rigorous research to protect and promote epistemic rights, and to help ensure that emerging technologies benefit the advancement of human knowledge and cognitive agency.
The central questions are:
- What forms of human intelligence should seek to education protect, cultivate, and assess in an age of increasingly capable AI?
- How can AI enable human intelligence and open new opportunities, vistas, and forms of learning, especially in settings where human resources and physical infrastructure may be challenging?
This framing moves the conversation beyond immediate debates about AI adoption, academic integrity, or productivity. It asks what education should value when machines can increasingly perform, support, or simulate aspects of human thought. It also connects directly to assessment, because the rise of AI challenges not only how learning is demonstrated, but what kinds of learning, judgment, understanding, and agency should count.
Submitting an abstract
Abstracts were invited for presentation of original research at the Cambridge AI in Education Summit 2026, meeting the criteria set out below.
If your abstract is accepted, you will receive a notification with further information regarding format, length of presentation, and instructions for submission of slides.
The summit organisers reserve full discretion in their selection and unfortunately due to the high volume of submissions, we cannot accept revised abstracts or provide individual feedback. More than one abstract submission is allowed.
Key Dates
Preparing Your Abstract
The online submission system is now closed.
Please consider using the following headings when constructing your abstract: Objectives and context, Methods / Approach, Outcomes & Conclusions.
Before submission, please have the following materials ready:
- Your abstract title, all authors' names and affiliations
- Your preferred topic area as chosen from the summit scope
- Your prepared abstract using normal style text of no more than 300 words including diagrams
- Abstracts must be submitted by 7 July 2026 if they are to be considered for the summit
- The working language of the summit is English, which will be used for all printed material, presentations and discussion
The summit organisers reserve the right to change the authors' choice of topic area.
Key Themes
Submissions are welcomed across the following subthemes:
This subtheme explores the broader purpose of education and leads us to question the purpose of the human in an AI-mediated world, asking which human capacities remain central: understanding, creativity, curiosity, ethical reasoning, collaboration, agency, and judgment.
This subtheme explores how AI reshapes the traditional learner-teacher relationship, including shifts in roles, trust, authority, and interaction. This matters because these relationships are central to engagement and learning outcomes, so understanding how AI enhances — or potentially disrupts — them is critical for educators, institutions, and policymakers shaping the future of education.
This subtheme considers how AI challenges existing models of evidence, validity, fairness, authenticity, and trust. It asks how assessment can continue to recognise genuine understanding, independent thought, and meaningful human capability.
This subtheme looks beyond current generative AI tools to consider the educational implications of rapidly developing technologies that may interact with cognition, attention, motivation, identity, and decision-making in more powerful ways.
This subtheme examines how AI may shape how learners think, trust, reason, decide, and make meaning. It includes questions about cognitive offloading, deference to AI, persuasion-capable tools, epistemic vulnerability, and the protection of independent thought. This strand also includes the social and civic capacity for collective deliberate reasoning and questions on how AI mediates both the information environment and the individual's response and interaction with this environment.
This subtheme focuses on practical and ethical implementation, including governance, institutional strategy, teacher and learner support, AI literacy, trust, transparency, and the responsible design and use of AI in educational settings.
This subtheme focuses on access and equity with the adoption of AI in education, including situations where a learner for whom AI represents not a threat to something they have, but a genuine upgrade from something inadequate.