AI Ethics & Fairness Framework

Implement AI writing assessment thoughtfully, using AI for formative feedback while preserving human judgment for high-stakes evaluation and pedagogical quality.

A comprehensive prevention strategy combining policy, assessment design, process requirements, verification, detection, and culture. No single approach works alone.

Practical strategies for creating assessments that promote genuine learning regardless of AI availability. Focus on process, personalization, and verification.

A practical framework for schools to evaluate EdTech AI vendors through a data protection lens. Includes due diligence checklist and DPA requirements.