
Teaching in Higher Ed
A Practical Framework for Ethical AI Integration in Assessment
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.
44:47
Episode guests
AI Summary
AI Chapters
Episode notes
Podcast summary created with Snipd AI
Quick takeaways
- The AI Assessment Scale promotes a balanced approach to ethical AI use in assessments, fostering open dialogue and academic integrity.
- Equity in AI access is critical, necessitating institutional guidelines to ensure all students can benefit from advanced AI resources.
Deep dives
Origins and Purpose of the AI Assessment Scale
The AI Assessment Scale (AIAS) was developed in response to the growing use of generative AI tools like ChatGPT in educational settings. Recognizing potential misuse and the need for guidelines, educators sought a balanced approach that neither banned nor unrestricted AI usage in assessments. The goal was to promote thoughtful integration of AI within the educational framework, encouraging open dialogue about its appropriate use while ensuring academic integrity. This scale has since been adopted by over 250 educational institutions worldwide, highlighting its relevance and effectiveness.
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.