🔬 Research Summary by Suman Devkota, Bishal Lamichhane, Aniket Kumar Singh, and Uttam Dhakal. Suman Devkota is a Manufacturing Engineer at First Solar and has a Master's in Electrical Engineering from Youngstown … [Read more...] about The Confidence-Competence Gap in Large Language Models: A Cognitive Study
Special Topics
Universal and Transferable Adversarial Attacks on Aligned Language Models
🔬 Research Summary by Andy Zou, a second-year PhD student at CMU, advised by Zico Kolter and Matt Fredrikson. He is also a cofounder of the Center for AI Safety (safe.ai). [Original paper by Andy Zou, Zifan … [Read more...] about Universal and Transferable Adversarial Attacks on Aligned Language Models
LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models
🔬 Research Summary by Ahmad Faiz, Masters in Data Science student at Indiana University Bloomington. [Original paper by Ahmad Faiz, Sotaro Kaneda, Ruhan Wang, Rita Osi, Parteek Sharma, Fan Chen, and Lei … [Read more...] about LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models
Engaging the Public in AI’s Journey: Lessons from the UK AI Safety Summit on Standards, Policy, and Contextual Awareness
✍️ Column by Connor Wright, our Partnerships Manager. Overview: The Montreal AI Ethics Institute is a partner organization with Partnership on AI (PAI). Our Partnerships Manager, Connor, attended their UK AI … [Read more...] about Engaging the Public in AI’s Journey: Lessons from the UK AI Safety Summit on Standards, Policy, and Contextual Awareness
Exploring XAI for the Arts: Explaining Latent Space in Generative Music
🔬 Research Summary by Nick Bryan-Kinns, Professor of Creative Computing at the Creative Computing Institute, University of the Arts London, where he researches the human-centred approaches to the use of AI in the Arts. … [Read more...] about Exploring XAI for the Arts: Explaining Latent Space in Generative Music