In this episode, Dr Viktoria Mileva, Lecturer in Psychology and Faculty AI Lead at the University of Stirling, explores why we need to move beyond teaching students how to use AI tools towards developing critical AI literacy. Vicky argues that whilst students will naturally learn to use intuitive AI interfaces, they need deeper understanding of what's happening behind the scenes.

The conversation tackles the fundamental challenge facing higher education: traditional assessments like "compare and contrast theories" no longer work when AI can complete them effectively. Vicky shares practical solutions being implemented at Stirling, including Microsoft 365 working folders that provide real-time visibility into student work processes, and the Stirling AI Assessment Scale that gives clear guidance on acceptable AI use levels.

We explore the shift from "tell me what you know" to "show me how you think" assessments, discussing everything from portfolio-based evaluation to transparent AI logs. Vicky addresses the reality that 88% of UK students have used generative AI for assessments, whilst many institutions are still developing policies to catch up with student practice.

The episode covers crucial ethical dimensions: environmental impact, bias, data protection, and digital equity. Vicky emphasises that students shouldn't be forced to use AI, acknowledging "conscientious objectors" who choose traditional approaches for legitimate ethical reasons.

Vicky reflects on how AI is transforming the educator's role from "sage on the stage" to facilitator of critical thinking and scenario-based learning. She shares her journey of redesigning psychology modules to be more practical and student-centred, moving away from knowledge delivery towards process-based learning.

The conversation addresses implementation challenges, offering practical steps for overwhelmed educators: start with frameworks, audit existing modules, seek upskilling opportunities, and borrow Creative Commons resources rather than starting from scratch.

Vicky concludes with an optimistic vision of graduates equipped not just with AI skills, but as critical thinkers and global citizens prepared for an AI-integrated world.

AI Ethics Now

Exploring the ethical dilemmas of AI in Higher Education and beyond.

A University of Warwick IATL Podcast

This podcast series was developed by Dr Tom Ritchie and Dr Jennie Mills, the module leads of the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠IATL module ⁠"The AI Revolution: Ethics, Technology, and Society"⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ at the University of Warwick. The AI Revolution module explores the history, current state, and potential futures of artificial intelligence, examining its profound impact on society, individuals, and the very definition of 'humanness.'

This podcast was initially designed to provide a deeper dive into the key themes explored each week in class. We want to share the discussions we have had to help offer a broader, interdisciplinary perspective on the ethical and societal implications of artificial intelligence to a wider audience.

Join each fortnight for new critical conversations on AI Ethics with local, national, and international experts.

We will discuss:

- Ethical Dimensions of AI: Fairness, bias, transparency, and accountability.

- Societal Implications: How AI is transforming industries, economies, and our understanding of humanity.

- The Future of AI: Potential benefits, risks, and shaping a future where AI serves humanity.

If you want to join the podcast as a guest, contact Tom.Ritchie@warwick.ac.uk.