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Evidence record 742 · automatically gathered

Resume Screening, Fast and Slow: (Biased) AI Recommendations' Influence on Human Decision Making

AI is increasingly being used collaboratively with people to make decisions in high-stakes domains, but this new paradigm is still not well-understood in many respects -- particularly regarding how AI that replicates human social biases influences people's decision making processes and how that can influence outcomes. In this study, we analyzed the time people spend viewing candidate resumes from an experiment investigating biased AI resume screening to evaluate decision-making fairness and cogn

Record details

Published: 20 June 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Finance, VC & PE
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.

Shared topic: Bias & fairness · Shared topic: Finance, VC & PE

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Shared topic: Bias & fairness · Shared topic: Finance, VC & PE

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Shared topic: Bias & fairness · Shared topic: Finance, VC & PE

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How to cite this record

ethics.ai (20 June 2026), “Resume Screening, Fast and Slow: (Biased) AI Recommendations' Influence on Human Decision Making,” evidence record 742, https://ethics.ai/record/742 (originally published by arXiv).

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