ITS
Information Technology Services
Open to students from any academic discipline at U of T, the IMI BIGDataAIHUB Case Competition is designed as a developmental opportunity for students to gain additional hands-on exposure to big data and artificial intelligence through real-world data.
In this talk, Evans will present recent work on defining and measuring “truthfulness” in the context of large language models, including their calibration, and their ability to forecast world events. These topics will be considered in relation to the reduction of epistemic harms from AI and the problem of value alignment in the context of artificial general intelligence.
This training session provides students an increase understanding of the experiences and impact of racial microaggressions by identifying forms of racial microaggressive behavior and comments.
