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UID:c7ab6e60-4ca5-4438-b764-e0916362035d@nexttoyou
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SUMMARY:NYU AI Safety x Juan Cadile: Does That Follow? Structuring and Ana
 lyzing Arguments
LOCATION:Silver 120
DESCRIPTION:This workshop will be followed in the evening by a talk on AI 
 Welfare. Feel free to attend one or both.\n\nRSVP\n\nMonday November 9th\
 , Silver 120:\n\nWorkshop: 11:30 - 12:30\, lunch provided\n\nTalk: 4:30-5
 :30\n\nWORKSHOP: Does That Follow? Structuring and Analyzing Arguments\n\
 nA hands-on workshop on making arguments explicit and analyzing them. We 
 begin with a quick toolkit: identifying a conclusion and its premises\, w
 riting an argument in standard form\, distinguishing validity from soundn
 ess\, spotting hidden premises and equivocations\, and using the main way
 s of proving or refuting a claim\, such as reductio ad absurdum and count
 erexamples. We then apply these tools to arguments from AI safety debates
 \, such as the case that advanced AI poses catastrophic risk\, or claims 
 that interpretability results reveal what a model “knows” or “believes.” 
 In small groups\, participants reconstruct a short published argument\, c
 heck whether the conclusion follows\, and find the premise that does the 
 most work with the least support. You’ll leave with a method you can reus
 e whenever you read or write an argument. No background in philosophy or 
 logic is needed.\n\nBIOGRAPHY\n\nJuan P. Cadile is a PhD student in philo
 sophy at the University of Rochester\, working in philosophy of AI and ph
 ilosophy of mind. His research asks what interpretability can and can’t t
 ell us about AI systems and their representations. He is the author of “D
 etecting and Steering LLMs’ Empathy in Action” (2025). With support from 
 a BlueD\n\nhttp://next-to-u.app/events/c7ab6e60-4ca5-4438-b764-e091636203
 5d
URL:http://next-to-u.app/events/c7ab6e60-4ca5-4438-b764-e0916362035d
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