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SUMMARY:Challenges of Regulating Increasingly Complicated Human-AI Collabo
 rative Systems - Dr Miri Zilka and Katie Collins\, University of Cambridge
DTSTART:20231122T110000Z
DTEND:20231122T123000Z
UID:TALK208852@talks.cam.ac.uk
CONTACT:Isaac Reid
DESCRIPTION:AI systems increasingly permeate many aspects of our lives\, f
 rom the passport scanners at Heathrow\, and recommendation engines modulat
 ing what we consume. AI systems hold promise to radically transform our pr
 oductivity\, wellbeing\, and what we know about the world around us\; howe
 ver\, they can also cause harm. As aptly said in Spiderman: “with great 
 power there must also come great responsibility.” One of the key approac
 hes in regulatory efforts designed to ensure safe use of AI is the concept
  of human oversight and human-the-loop. But are these measures always effe
 ctive in reducing risk of harms? We start by assessing simple algorithmic 
 decision systems and progress to rapidly emerging challenges raised around
  the regulation of refurbished “generative” AI.\n\nWe focus in particu
 lar on questions of regulating these systems in the context of human-AI co
 llaboration\, but highlight how such questions are increasingly intertwine
 d from broader regulatory calls around AI safety and “AGI”. We’ll to
 uch on a range of different efforts – from the EU AI Act to Biden’s ne
 w Executive Order\, to the recent Hollywood AI strikes. We hope to leave a
 mple time for discussion with the CBL Community and Friends of CBL about w
 hat these regulatory efforts may mean in our own day-to-day research and b
 eyond – looking forward to discussing with you all!
LOCATION:Cambridge University Engineering Department\, CBL Seminar room BE
 4-38.
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