

A Practical Framework for Ethical AI Integration in Assessment
24 snips May 8, 2025
Mike Perkins, an associate professor focused on Gen AI policy at British University Vietnam, and Jasper Roe, an assistant professor at Durham University specializing in digital literacies, delve into ethical AI integration in education. They discuss a practical AI assessment scale designed to promote transparency and integrity while fostering open conversations about AI's role. Topics also include tackling biases, enhancing critical thinking, and the decline of AI hallucinations. Together, they advocate for a balanced approach to integrating AI in academic settings.
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Flexible AI Assessment Scale
- The AI Assessment Scale offers a flexible, non-binary way to thoughtfully integrate AI into assessments.
- It supports conversations about suitable AI use considering cultural and contextual differences.
Trust Over Punishment in AI Use
- Punishing students for AI use risks ignoring their intent to learn and use technology beneficially.
- The AI Assessment Scale encourages trust and balanced approaches over policing.
Promote Equity in AI Access
- Institutions should provide consistent AI tools to promote equity in access for all students.
- Sharing AI interaction logs can aid learning and address disparities in tool availability.