AIM-LIFT:
Artificial Intelligence and Machine Learning Interdisciplinary Forum for Theory

We are a reading and discussion group on AI & machine learning and their social, political, and scientific implications. We meet by Zoom every 1st and 3rd Tuesday, from 12pm-1pm, to discuss pre-circulated papers and articles. Researchers and professionals with interests in AI & machine learning are welcome to participate.

Tues., Nov. 12, 12pm-1pm

Topic: Reasoning and inference in LLMs 

Readings: 

(1) Hase, et al., "Fundamental Problems with Model Editing: How Should Rational Belief Revision Work in LLMs?" (2024) https://arxiv.org/abs/2406.19354

(2) Betz, "Probabilistic coherence, logical consistency, and Bayesian learning: Neural language models as epistemic agents" (2023) https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0281372

Recommended and introduced by: Phillip Honenberger (CEAMLS)

The AI-ML Interdisciplinary Forum for Theory (AIM-LIFT) Mission Statement:
Artificial Intelligence is rapidly evolving with still uncharted benefits and costs. Steering a course for an AI in society, and society alongside AI, demands technical competence and theoretical imaginativeness that is still too rare. AIM-LIFT contributes to better AI futures through technically informed and theoretically sophisticated discussion of AI/ML in its full context, drawn from multiple disciplines, skills, and backgrounds.

We (typically) meet on 1^st and 3^rd Tuesdays of each month, from 12pm-1pm, by Zoom to discuss pre-circulated papers. Someone gives a short introduction to the papers (5-10 minutes) and the group discusses. 

AIM-LIFT is co-organized by 
Gabriella Waters (gabriella.waters@morgan.edu) and 
Phillip Honenberger (jaywilliam.honenberger@morgan.edu),
both at CEAMLS (the Center for Equitable AI & ML Systems) at Morgan State University.
The group is hosted by CEAMLS.