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UID:pretalx-pyconde-pydata-2026-3C9P9V@pretalx.com
DTSTART;TZID=CET:20260416T150500
DTEND;TZID=CET:20260416T153500
DESCRIPTION:AI recruiting systems are increasingly used to filter\, rank\, 
 and select applicants at scale. Yet their deployment raises essential ques
 tions: How reliable are these models in real hiring environments\, and how
  do we ensure fairness and safety across diverse applicant profiles? This 
 talk presents a structured approach to testing and validating AI-driven re
 cruiting pipelines. It highlights the role of synthetic test data\, data a
 ugmentation\, and fairness metrics in uncovering systemic risks and mitiga
 ting bias. Attendees will walk through a complete evaluation workflow. The
  session also incorporates insights from real-world testing practices\, de
 monstrating how rigorous validation can increase trust and transparency in
  recruitment AI.
DTSTAMP:20260412T141733Z
LOCATION:Europium [3rd Floor]
SUMMARY:Is my AI Recruiting biased? - How to evaluate these systems - Sebas
 tian Krauss
URL:https://pretalx.com/pyconde-pydata-2026/talk/3C9P9V/
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