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UID:pretalx-euroscipy-2026-8KCT3D@pretalx.com
DTSTART;TZID=CET:20260721T144000
DTEND;TZID=CET:20260721T151000
DESCRIPTION:LLM-as-a-Judge systems are increasingly deployed in high-stakes
  settings - screening job applicants\, triaging medical cases\, assessing 
 credit risk\, and flagging legal exposure. As the EU AI Act takes effect i
 n August 2026 with penalties up to €35M for biased high-risk systems\, o
 rganizations are investing heavily in fairness audits. But passing a bias 
 check does not guarantee fairness. Standard Python fairness pipelines rare
 ly detect this shift. In a controlled hiring experiment on real resumes\, 
 we demonstrate how alignment and potentially bias-mitigation techniques ca
 n reduce aggregate disparities while redistributing harm across intersecti
 onal subgroups.
DTSTAMP:20260603T195601Z
LOCATION:Room 1.19 (Ground Floor\, Shannon)
SUMMARY:The Illusion of Compliance: Auditing LLM-as-a-Judge Systems - Vasu 
 Sharma
URL:https://pretalx.com/euroscipy-2026/talk/8KCT3D/
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