Dear all, Our next AI seminar is scheduled for Friday, November 15. Talk Details: * AI Seminar: "Curious Embeddings, Hazy Oracles, and the Path to Safe, Cooperative AI" * Speaker: Dr. Jason Corso, Professor of Robotics, Electrical Engineering, and Computer Science, University of Michigan * Time: 2:00 PM * Location: KEC 1001 and Zoom * Zoom link: https://oregonstate.zoom.us/s/98357211915<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Foregonstate.zoom.us%2Fs%2F98357211915&data=05%7C02%7Cai%40engr.oregonstate.edu%7Cce5403f5143b480aa43608dd0343d681%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638670312074400707%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=EN%2BjNZG8e3nzNxhU8xlTzTLnusm%2FE4P5%2FoDheUJsqCQ%3D&reserved=0> Talk Abstract: Cooperation through safe and trustworthy communication and interaction is fundamental to how human teams accomplish complex tasks. Yet, despite significant--and sometimes revolutionary--advances in AI, we have barely begun to unlock the potential of safe, cooperative AI. This may stem from our limited understanding of how multimodal, large-scale AI models function, the one-sided nature of contemporary, fully-supervised AI approaches, or social concerns about human-AI collaboration. In this talk, I will delve into these layers of inquiry, beginning with a principled exploration of what the embeddings in large-scale foundation models reveal about the underlying problem and data, including new results disentangling sample-size from Bayes error and decision-boundary complexity. I will then introduce the concept of the human collaborator as a “hazy oracle”--a fallible partner rather than an omniscient information source--and establish a framework for modeling human-supplied error during collaboration. Building on these foundational insights, I will conclude with applications of these ideas to foster safe and effective human-AI collaboration in the health sciences. Speaker Bio: Jason Corso is Professor of Robotics, Electrical Engineering and Computer Science at the University of Michigan and Co-Founder / Chief Scientist of the AI startup Voxel51. He received his PhD and MSE degrees at The Johns Hopkins University in 2005 and 2002, respectively, and the BS Degree with honors from Loyola College In Maryland in 2000, all in Computer Science. He is the recipient of a U Michigan EECS Outstanding Achievement Award 2018, Google Faculty Research Award 2015, the Army Research Office Young Investigator Award 2010, National Science Foundation CAREER award 2009, SUNY Buffalo Young Investigator Award 2011, a member of the 2009 DARPA Computer Science Study Group, and a recipient of the Link Foundation Fellowship in Advanced Simulation and Training 2003. Corso has authored more than 150 peer-reviewed papers and hundreds of thousands of lines of open-source code on topics of his interest including computer vision, robotics, data science, machine learning, AI, and general computing. He is a member of the AAAI, ACM, MAA and a senior member of the IEEE. If you would like to meet with the speaker one-on-one, please email tadepall@oregonstate.edu<mailto:tadepall@oregonstate.edu> by Tuesday. For future AI seminars, please visit: https://engineering.oregonstate.edu/EECS/research/AI-seminars<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fengineering.oregonstate.edu%2FEECS%2Fresearch%2FAI-seminars&data=05%7C02%7Cai%40engr.oregonstate.edu%7Cce5403f5143b480aa43608dd0343d681%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638670312074557019%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=jgNqu4CZt8Fm4ZpuhIxqseis50NumxSe7EqVWSgW9wI%3D&reserved=0>. Best, Christian Abou-Mrad Graduate Student Oregon State University