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.
Contact jaywiliam.honenberger@morgan.edu for Zoom link. 

Topic for Tues., May 7:
Concepts of diversity in ML and data science
(1) Fazelpour & DeArteaga, “Diversity in sociotechnical machine learning systems” (2022) 
(2) Droscou et al., “Diversity in Big Data: A Review” (2018)
[Thanks to Gabriella Waters for recommending (1).]

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 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.