Responsible AI and Data Governance
Research on AI-enabled systems highlights the importance of transparency, ethical considerations, and responsible data practices when deploying AI tools in education.
How Easy Examiner applies this
- Student data is anonymised before processing
- AI models are not trained on school data
- Infrastructure is hosted on secure UK-based cloud services
- Access is controlled through role-based permissions and authentication
Why this matters
Schools can benefit from AI-assisted assessment while maintaining high standards of data protection, transparency, and safeguarding.
Research source
National Institute of Teaching (2026). NIoT Evidence Toolkit: Artificial Intelligence enabled Professional Learning strand.