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.