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SUMMARY:Feedback Forensics: Measuring AI Personality By Comparing Observed
  Behaviour - Arduin Findeis\, Department of Computer Science and Technolog
 y\, University of Cambridge
DTSTART:20251007T110000Z
DTEND:20251007T120000Z
UID:TALK236578@talks.cam.ac.uk
CONTACT:Luning Sun
DESCRIPTION:Many personality tests ask participants hypothetical questions
  predicting their own behaviours. Yet\, as with humans\, self-predicted AI
  behaviour does not always match observed behaviour. In this talk\, I will
  introduce Feedback Forensics: a toolkit to measure AI traits related to p
 ersonality directly based on observed behaviour data. Comparing model beha
 viours to the same input relative to each other\, our toolkit can measure 
 a diverse set of traits related to the underlying personality\, manner\, a
 nd style of AI responses. I will share results describing traits exhibited
  by popular AI models as well as detecting the traits encouraged by human 
 feedback. The talk will feature a live demo of our personality visualisati
 on tool and attendees are invited to follow along via our online platform 
 https://feedbackforensics.com/ (laptops are encouraged).\n\nBio: \nArduin 
 is currently a PhD student in the Department of Computer Science in Cambri
 dge working on AI model evaluation. His work focuses on understanding what
  desirable and undesirable model behaviours are reinforced by human and AI
  feedback. Prior to joining his current PhD programme\, Arduin completed a
 n MPhil in Machine Learning and Machine Intelligence in Cambridge's Engine
 ering Department. Recently\, Arduin also worked on model evaluation within
  Apple's Foundation Models team as an intern.
LOCATION:S3.04\, Simon Sainsbury Centre\, Cambridge Judge Business School
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