Trust and AI adoption in universities
Key Questions
How do Warwick academics view AI adoption in universities?
They reframe it primarily as a trust issue rather than a technical one. They introduce Pedagogic Paradigm 5.0 and the concept of a 'benevolence gap' to address this.
What is the 'benevolence gap' in the context of AI in higher education?
It refers to a perceived lack of genuine care or ethical alignment in AI systems used in universities. This gap contributes to low trust among staff and students.
What is shadow AI and why does it matter in UK universities?
Shadow AI describes the widespread unofficial use of AI tools outside institutional oversight. It is rampant and raises risks around transparency, bias, and governance.
What practical steps are recommended for UK HE institutions regarding AI?
Recommendations focus on increasing transparency, reducing friction in approved tools, and improving oversight. These are actionable for governance and teaching practices.
How does the EDUCAUSE Horizon Report relate to trust and AI in education?
It highlights how AI is reshaping trust and the future of learning. This aligns with the emphasis on addressing bias, procurement, and human oversight in higher education.
Warwick academics reframe AI adoption as a trust issue, introducing Pedagogic Paradigm 5.0 and 'benevolence gap'. Shadow AI is rampant. Practical recommendations on transparency and reducing friction are actionable for UK HE governance and teaching.