The rapid advancement of AI technologies, particularly generative AI, has driven important conversations about academic integrity and the potential for cheating in higher and professional education. However, rather than viewing AI solely as a threat, we have an opportunity to explore how it can be thoughtfully integrated into our teaching and assessment practices to enhance learning outcomes.
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In this episode, we discuss the implications of generative AI on assessment, and on learning and teaching more broadly. This was a wide-ranging conversation that explored some of the detail around how language models work, it’s inability to compare responses to valid models of the world, practical uses for AI in teaching, learning, and assessment, and the risks of having AI being trained on data generated by AI.
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