School of Social and Political Science

Description

Abstract

This talk explores how fairness and bias are constructed, contested, and operationalized when artificial intelligence enters the hiring process. It examines how HR epistemics are translated into AI systems that promise objectivity and fair processes yet often reproduce structural inequities. Through findings from interviews and observations with HR professionals, job seekers, AI developers, the talk traces how diverse stakeholders understand and negotiate what counts as “fair” or “unfair” in automated recruitment processes. By situating these negotiations within the broader field of human–AI relations, Søraa questions: whose knowledge becomes encoded as what expertise, and whose practices remains invisible? The talk reflects on how STS principles can help discuss fairness not as a computational property but as an ongoing relational practice among humans and machines in organizational life. The work is based on the BIAS Project, funded by the European Commission of Research.

Location: G.01 HSY Teaching Centre
High School Yards
Edinburgh, EH1 1LZ

And online - STIS Seminar Zoom Link (updated 2nd Oct 25):
https://ed-ac-uk.zoom.us/j/82140544359?pwd=Eoxde3Vj_00WiBRxOt47aCdJ0Dy3CITi.T-3gLpgTSI0MkJAy
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