Claims about an AI system should be checkable by someone who was not involved in building it.
What evidence about an AI system is adequate for a particular decision, held by a particular role, in a particular deployment?
- AI assurance
- Regulation
- Reproducibility
Institutions that cannot pool sensitive data can still learn together, if the governance is built alongside the method.
What has to hold, technically and institutionally, for federated analysis across sensitive datasets to be trustworthy rather than merely decentralised?
- Federated learning
- Privacy
- AI assurance
Systems that adapt to people need to be honest about how little they know about the person in front of them.
How can adaptive and affect-aware systems support learning and wellbeing without overreading sparse, intimate signals?
- HCI
- Learning sciences
- Mental health
The governance of education and children's data decides what the technology is allowed to become.
How should public institutions govern data about people who cannot meaningfully consent, and what does that require of the systems built on it?
- Data governance
- Children's data
- Education