About this Event
AIM-LIFT:
AI & 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 precirculated papers and articles. Researchers and professionals with interests in AI & machine learning are welcome to participate.
Contact jaywiliam.honenberger@morgan.edu for Zoom link.
--
UPCOMING MEETING TOPIC:
Diffusion Models and Image Generative AI
(1) Robertson, “Google apologizes for ‘missing the mark’ after Gemini generated racially diverse Nazis” (2024), The Verge (https://www.theverge.com/2024/2/21/24079371/google-ai-gemini-generative-inaccurate-historical )
(2) Isaacs-Thomas, “How AI turns text into images” (2023), PBS News Hour (https://www.pbs.org/newshour/science/how-ai-makes-images-based-on-a-few-words)
(3) Bushwick et al., “See how AI generates images from text” (2023),
(https://www.scientificamerican.com/article/see-how-ai-generates-images-from-text/ )
(4) OPTIONAL (for the “deep dive”): Yang et al., “Diffusion Models: A Comprehensive Survey of Methods and Applications” (2023), ACM Computing Surveys (https://www.researchgate.net/publication/374330983_Diffusion_Models_A_Comprehensive_Survey_of_Methods_and_Applications)
--
AIM-LIFT MISSION STATEMENT:
Artificial Intelligence is rapidly evolving with still uncharted benefits and costs. Steering a course for 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.
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.
User Activity
No recent activity