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SUMMARY:With great power... My journey in Responsible AI - Christos Christ
 odoulopoulos
DTSTART:20251121T120000Z
DTEND:20251121T130000Z
UID:TALK235300@talks.cam.ac.uk
CONTACT:Suchir Salhan
DESCRIPTION:**Abstract:** \nAs LLMs become part of products used daily by 
 millions of people\, it is increasingly urgent to ensure that these models
  are developed and operate responsibly. In this talk\, I will share my jou
 rney in Responsible AI (RAI)\, from my early work in automated fact verifi
 cation to the development of the Amazon Nova family of foundational models
  and my new role in the Information Commissioner's Office (ICO)\, the UK's
  data protection regulator. I will share some examples of RAI research tha
 t I and my former team have done\, including the largest RAI benchmark for
  video foundation models\, and a linguistically-inspired text-to-text LLM 
 watermarking method. I will also talk about the role regulatory agencies l
 ike the ICO play in the extremely fast-paced world of post-ChatGPT AI. Fin
 ally\, I am going to discuss how RAI is practiced in an industry setting a
 nd how it is influenced by and sometimes informs AI regulations.\n\n**Bio:
 **\nDr Christos Christodoulopoulos is a Principal Technology Adviser for t
 he Information Commissioner's Office\, the UK's data protection regulator\
 , working with the AI Policy and AI Compliance teams. Before that\, he was
  a Senior Applied Scientist at Amazon\, working on Responsible AI for Alex
 a and the Amazon Nova family of Foundational Models. He has a PhD in Compu
 tational Linguistics from the University of Edinburgh\, and he was a postd
 octoral researcher at the University of Illinois. He is a Program Chair fo
 r EMNLP 2025\, a Senior Area Chair for various *CL conferences and was the
  General Chair for the 2021 Truth and Trust Online conference.
LOCATION:FW26 Hybrid (In-Person + Online). Here is the Google Meet link: h
 ttps://meet.google.com/yeu-pqce-rsn.
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