Philosophy, AI and the Mess of Leading: the future of institutions in a rapidly changing world | Duncan Ivison
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President and Vice-Chancellor of the University of Manchester on AI, philosophy, and institutional change.
This episode is for people who are struggling to see how transformative change, especially AI adoption, can be introduced without fracturing trust or triggering institutional paralysis.
Duncan Ivison, President and Vice-Chancellor of the University of Manchester, one of the UK's largest and most comprehensive universities, in conversation with Daniel Atlin, explains how he is leading significant change: not by minimizing disruption, but by leaning into it deliberately and bringing the community along.
Duncan describes the University of Manchester's landmark partnership with Microsoft, the first of its kind globally. It is providing free, unrestricted access to the latest version of Copilot to all 65,000 students and staff, alongside ethical frameworks, working groups on environmental impact, and structured training.
He is frank about what he got wrong: underestimating the emotional response, the anxiety about AI's effect on organizational culture, and the importance of 'deliberated disagreement', having actual conversations rather than making assumptions about what people think. The 1,700 person town hall that followed the announcement, ranging from 'this is evil' to 'where is my licence?', became a masterclass in why dialogue and transparency matter more than consensus.
Duncan draws directly on his background as a philosopher, trained in the limits of knowledge, first principles thinking, and asking better questions - to explain how he navigates decisions in an institution that is simultaneously a research powerhouse, a civic anchor, a global brand, and a complex adaptive system of competing disciplines and stakeholders. He argues that in an AI-mediated world, large language models don't think, rather human beings do, and that philosophy and the humanities are entering a golden era precisely because the ethical and value questions AI raises will not be answered by the tech industry.
The conversation also covers:
- distributed leadership and when to step in versus step back
- strategy as narrative and why universities drift when purpose is unclear
- reimagining university structures around real-world problems rather than academic disciplines
- lifelong and flexible learning as the new model
- the fragility of universities' social licence to operate
- And the career philosophy of saying yes to opportunities before you know the outcome.
Duncan reflects on 22 years at the University of Sydney, the 'two body problem' of a global career, and what growing up in multicultural, bilingual Montreal taught him about identity, power and ideas.
This is a thoughtful conversation about leadership in complexity, the future of higher education, and why deeply human capacities may matter more than ever in the age of AI.
As always, thanks for listening to Messy.
This episode is for people who are struggling to see how transformative change, especially AI adoption, can be introduced without fracturing trust or triggering institutional paralysis.
Duncan Ivison, President and Vice-Chancellor of the University of Manchester, one of the UK's largest and most comprehensive universities, in conversation with Daniel Atlin, explains how he is leading significant change: not by minimizing disruption, but by leaning into it deliberately and bringing the community along.
Duncan describes the University of Manchester's landmark partnership with Microsoft, the first of its kind globally. It is providing free, unrestricted access to the latest version of Copilot to all 65,000 students and staff, alongside ethical frameworks, working groups on environmental impact, and structured training.
He is frank about what he got wrong: underestimating the emotional response, the anxiety about AI's effect on organizational culture, and the importance of 'deliberated disagreement', having actual conversations rather than making assumptions about what people think. The 1,700 person town hall that followed the announcement, ranging from 'this is evil' to 'where is my licence?', became a masterclass in why dialogue and transparency matter more than consensus.
Duncan draws directly on his background as a philosopher, trained in the limits of knowledge, first principles thinking, and asking better questions - to explain how he navigates decisions in an institution that is simultaneously a research powerhouse, a civic anchor, a global brand, and a complex adaptive system of competing disciplines and stakeholders. He argues that in an AI-mediated world, large language models don't think, rather human beings do, and that philosophy and the humanities are entering a golden era precisely because the ethical and value questions AI raises will not be answered by the tech industry.
The conversation also covers:
- distributed leadership and when to step in versus step back
- strategy as narrative and why universities drift when purpose is unclear
- reimagining university structures around real-world problems rather than academic disciplines
- lifelong and flexible learning as the new model
- the fragility of universities' social licence to operate
- And the career philosophy of saying yes to opportunities before you know the outcome.
Duncan reflects on 22 years at the University of Sydney, the 'two body problem' of a global career, and what growing up in multicultural, bilingual Montreal taught him about identity, power and ideas.
This is a thoughtful conversation about leadership in complexity, the future of higher education, and why deeply human capacities may matter more than ever in the age of AI.
As always, thanks for listening to Messy.
Chapters
- 00:00 Introduction: Leading in a World of Disruption
- 01:37 Origin Story: Growing Up in Multicultural Montreal
- 04:13 Ideas Matter: From Law to Philosophy at McGill
- 05:01 The Same Mess Everywhere: A Global Leadership Journey
- 08:12 Why Naming the Mess Is a Leadership Tool
- 11:23 What Philosophy Actually Prepares You For
- 15:26 Large Language Models Don't Think: The AI and Humanities Argument
- 20:00 The University of Manchester's AI Strategy
- 22:30 The Microsoft Copilot Partnership: 65,000 Users, No Restrictions
- 25:00 The 1,700-Person Town Hall: Controversy and Community Response
- 27:58 Key Learnings: Underestimating the Emotional Response to AI
- 29:42 Deliberated Disagreement and the Value of Real Dialogue
- 31:29 Reimagining University Structure Around Real-World Problems
- 35:08 Flexible and Lifelong Learning as the New Model
- 37:03 Decision-Making and Distributed Leadership
- 41:35 Strategy as Narrative: Giving People a Stake in the Future
- 45:02 Advice for Leaders in Complex Institutions
- 48:45 Risk Appetite, Failure, and Knowing When to Jump
- 50:21 Closing Reflection: Philosophy, Discomfort, and the Future
