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Evidence record 5398 · automatically gathered

How Supply Chain Dependencies Complicate Bias Measurement and Accountability Attribution in AI Hiring Applications

The increasing adoption of AI systems in hiring has raised concerns about algorithmic bias and accountability, prompting regulatory responses including the EU AI Act, NYC Local Law 144, and Colorado's AI Act. While existing research examines bias through technical or regulatory lenses, both perspectives overlook a fundamental challenge: modern AI hiring systems operate within complex supply chains where responsibility fragments across data vendors, model developers, platform providers, and deplo

Record details

Published: 24 April 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Regulation · Transparency
Retrieved: 14 July 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.

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How to cite this record

ethics.ai (24 April 2026), “How Supply Chain Dependencies Complicate Bias Measurement and Accountability Attribution in AI Hiring Applications,” evidence record 5398, https://ethics.ai/record/5398 (originally published by arXiv).

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