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Evidence record 19119 · automatically gathered

Applied and Filtered: An End-to-End Algorithmic Fairness Audit of A Public Employment Agency

arXiv:2608.13022v1 Announce Type: new Abstract: Algorithmic fairness evaluation commonly assesses AI systems as bounded technical components, abstracting away the organizational context in which they operate. We present, to our knowledge, the first independent end-to-end fairness audit of a semi-automated hiring system operated by Barcelona Activa, a public employment agency using the third-party TalentClue platform for candidate search and shortlisting. We analyze approximately 497,000 candidat

Record details

Published: 14 August 2026
Source: arXiv cs.CY
Category: Research
Topics: Bias & fairness · Jobs & economy · Transparency
Retrieved: 14 August 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

Shared topic: Bias & fairness · Shared topic: Jobs & economy

Applied and Filtered: An End-to-End Algorithmic Fairness Audit of A Public Employment Agency

arXiv · 13 August 2026

Shared topic: Bias & fairness · Shared topic: Jobs & economy

When AI Does the Work, What Is Learning For? Post-Instrumental Learning and the Risk of Capacity Dissolution

arXiv cs.CY · 31 July 2026

Shared topic: Bias & fairness · Shared topic: Jobs & economy

When AI Does the Work, What Is Learning For? Post-Instrumental Learning and the Risk of Capacity Dissolution

arXiv · 30 July 2026

Shared topic: Bias & fairness · Shared topic: Jobs & economy

Fairness of Explanations in Artificial Intelligence (AI): A Unifying Framework, Axioms, and Future Direction toward Responsible AI

arXiv · 11 May 2026

Shared topic: Bias & fairness · Shared topic: Transparency

Language Models as a Challenge for Business Ethics – A Partially Open-Source Approach

Science and Engineering Ethics · 14 August 2026

Shared topic: Bias & fairness · Shared topic: Transparency

Prestige over merit: An adapted audit of LLM bias in peer review

arXiv cs.CY · 13 August 2026

How to cite this record

ethics.ai (14 August 2026), “Applied and Filtered: An End-to-End Algorithmic Fairness Audit of A Public Employment Agency,” evidence record 19119, https://ethics.ai/record/19119 (originally published by arXiv cs.CY).

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