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AI, the BS Savant and Autocognition
Location: In Person at CAPLA West, Room 220 & Online via Zoom
This talk surveys AI’s evolution, from narrow systems automating human tasks to today’s hype around AGI. I argue current models won’t reach AGI, but rapid innovation may produce non-human-like AGI soon. Before that, machines will outperform humans in many “intelligent” tasks, reshaping academia and society. After AGI, all bets are off.
Attribution: Written by me with help from a grammar checker. This abstract was later used as a GPT-5 prompt to co-develop the slide presentation.
Professor P. Bryan Heidorn, Associate Dean for Research in the College of Information Science, has decades of experience in AI—from early NLP systems to machine learning research. His roles at NSF and UA have made him a keen observer of AI through deep engagement with proposals and papers