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AIML Special Presentation: Professor Marcus Hutter
- Date: Wed, 12 Nov 2025, 1:30 pm - 2:30 pm
- Location: AIML
There is significant interest in understanding and constructing generally intelligent systems that approach and ultimately exceed human intelligence. Universal AI is presented as a mathematical theory of machine super-intelligence. More precisely, AIXI is described as an elegant, parameter-free theory of an optimal reinforcement learning agent embedded in an arbitrary unknown environment, possessing essentially all aspects of rational intelligence. The theory reduces all conceptual AI problems to pure computational questions. After a discussion of its philosophical, mathematical, and computational ingredients, a formal definition and measure of intelligence are introduced, maximized by AIXI. AIXI is framed as the most powerful Bayes-optimal sequential decision maker, and general optimality results are outlined.
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AIML Special Presentation: Historical reasoning and machine learning
- Date: Fri, 7 Nov 2025, 3:00 pm - 4:30 pm
- Location: AIML
How do historians learn from the past to identify patterns, make predictions, and improve their work? Are their heuristics helpful for further advancing the development of machine learning? In this workshop, Professor Marnie Hughes-Warrington explored examples of how prize-winning historians reason about the past, including through dynamic spatio-temporal scaling, the use of conditionals and counterfactuals, and in the citation of temporal markers to fix and give credence to information.
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Responsible AI Summit for Future Education
- Date: Thu, 6 Nov 2025, 10:00 am - 3:00 pm
- Location: AIML
The Responsible AI Research (RAIR) Centre invited educators and researchers to the Responsible AI Summit for Future Education to explore how AI was transforming the way we teach and learn. The event offered practical insights for teachers and education professionals seeking to integrate AI responsibly into their classrooms and curricula. Through a panel discussion and interactive workshops, participants gained strategies to enhance digital literacy, improve student engagement, and prepare learners for an increasingly AI-driven world.
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