A warm thank you to everyone who attended CHIA’s Annual Conference 2025!
This year’s conference brought together leading voices from academia, industry, and policy to explore how we can shape a better future for AI—one that is informed by human values, insights, and needs. Please see below for our full programme and the list of keynote speakers.
Programme
10:30
Welcome coffee and registration
Foyer West Court
11:00-12:30
Morning session: Towards AI that works for everyone
Frankopan Hall
Conference opening: Pro-Vice-Chancellor of Research, Prof Sir John Aston, University of Cambridge
Keynote: Prof Neil Lawrence, University of Cambridge. Towards AI that Works for Everyone.
Keynote: Prof Milind Tambe, Harvard University, Google Deepmind. AI for Social Impact: Deployed Resource Optimization and Future Acceleration with Foundation Models.
1 Minute research pitches: CHIA Early Career Community
Introduction to lunch
12:30-14:00
Lunch
The Forum Rooms
A networking lunch with posters, lab demos and Better Images of AI
14:00-15:15
Afternoon session: What’s next for AI research and education
Frankopan Hall
Keynote: Hatice Gunes, University of Cambridge. Social Robotics and AI for Assessing Child Mental Wellbeing
Panel discussion: The future of AI Research
Chair: Dr John Suckling, University of Cambridge
Prof Milind Tambe, Harvard University, Google DeepMind
Prof José Hernández-Orallo, Universitat Politècnica de València
Katherine Collins, University of Cambridge
Panel discussion: The future of AI Education
Chair: Prof Jenny Gibson, University of Cambridge
Prof Per Ola Kristensson, University of Cambridge
Diana Canghizer, Imperial College London
Dr Umang Bhatt, University of Cambridge
15:15-15:45
Coffee
Foyer West Court
15:45-17:15
Closing session: AI for the planet’s future
Frankopan Hall
Keynote: Dr Millie Chapman, ETH Zürich, Google Research. Towards a just planetary future in the age of AI.
Panel discussion: AI for the planet
Chair: Dr Robert Doubleday, University of Cambridge
Dr Millie Chapman, ETH Zürich, Google Research
Prof Anil Madhavapeddy, University of Cambridge
Prof Richart Turner, University of Cambridge
Best poster / demo / presentation / artwork prizes
Closing
Keynote Speakers
Professor Milind Tambe
Harvard University, Google DeepMind
Milind’s pioneering AI systems have had real-world impact in public health, public safety, and wildlife conservation. His work has earned numerous honours, including the AAAI Award for AI for the Benefit of Humanity, the IJCAI John McCarthy Award, and recognition from U.S. public agencies. He is a Fellow of both AAAI and ACM.
Dr Melissa (Millie) Chapman
ETH Zürich, Google Research
Millie’s research is at the intersection of decision theory, ecology, and data justice, critically exploring how computational tools can help us develop effective and equitable strategies to meet global biodiversity and climate targets.
Professor Hatice Gunes
University of Cambridge
Hatice leads the Affective Intelligence and Robotics (AFAR) Lab at the University of Cambridge, where her research focuses on social, affective, and multimodal intelligence for AI systems and robots. Her work bridges computer science with mental health and wellbeing, and has been recognised with multiple awards, including from IEEE and the University of Cambridge.
Professor Neil Lawrence
University of Cambridge
Neil is a professor of machine learning whose technical expertise is in uncertainty and machine learning methods. With the increased impact of machine learning in society, in particular its use as the principal technology underpinning modern artificial intelligence, Neil has also become interested in public understanding of machine learning, policy decisions around machine learning and the implications for data governance.