Sharma Lecture: Jonothan Tsou
Psychiatry and Epistemic Justice
September 22nd, 2023
2:30 pm - 5:00 pm
Pre-talk social 2:30 pm HH 335
Talk 3:00 pm - 5: 00 pm HH 373
The Philosophy department is honored to welcome Reza Hadisi who will be joining us from the University of Toronto to share their research. Don't miss this opportunity to engage in the discussion. For more on Hadisi and event details click the title.
The Philosophy department is very excited to welcome Alice MacLachlan who will be joining us from York University to share their research. Don't miss this opportunity to engage in discussion with Alice MacLachlan. For more information and event details click the event title.
Seminar and discussion led by Laura Mae Lindo.
Social: 4:30 - 5 pm, HH room 335 (Philosophy Reading Room)
Seminar: 5 - 6 pm, HH 373
Annual Philosophy Awards Ceremony April 10th 2024
Hagey hall 373
Why Stand Point (still) Matters: A Prospectus
Alison Wylie
Dark Matter and Black People: Misleading Analogies in Physics
Doreen Fraser
Hagey Hall room 334
12 PM - 2PM
Four speakers visit the Philosophy Department every Fall and Winter term to discuss their research. Check here to see the list of speakers and the dates.
For the first Philosophy Colloquium talk of the new academic year, we look forward to hearing from Patricia Marino, who will deconstruct formal models and their use to determine if and how these models are working for or against us.
Gender identity is a popular concept when it comes to explaining trans people and our genders—especially when those genders are exploratory, expansive, or resistant. But what is this concept? What does it really do for us? Is it the best concept for that job? Find out more.
The concept of intelligence has been difficult to get one’s arms around. Surprisingly, the same can be said also of the notion of reasoning. This talk aims at shedding some light on certain aspects of human reasoning - reasoning for practical life. This will put us in a better position to make some comparisons between (some aspects of) human reasoning, and what Large Language Models (LLMs) are doing - they look to be doing quite different things. Reasoning, at least as humans do it, involves architecture that Computer Science has apparently abandoned for the current generation of AI models. We will pose questions about whether this current generation is capable of moving past their present obstacles.