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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.
[Read more about AIML Special Presentation: Historical reasoning and machine learning]
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.
[Read more about Responsible AI Summit for Future Education]
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