AIMC Topic: Personnel Selection
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Whither bias goes, I will go: An integrative, systematic review of algorithmic bias mitigation.
The Journal of applied psychology
Dec 30, 2024
Machine learning (ML) models are increasingly used for personnel assessment and selection (e.g., resume screeners, automatically scored interviews). However, concerns have been raised throughout society that ML assessments may be biased and perpetuat...
Can Artificial Intelligence Deceive Residency Committees? A Randomized Multicenter Analysis of Letters of Recommendation.
The Journal of the American Academy of Orthopaedic Surgeons
Dec 12, 2024
INTRODUCTION: The introduction of generative artificial intelligence (AI) may have a profound effect on residency applications. In this study, we explore the abilities of AI-generated letters of recommendation (LORs) by evaluating the accuracy of ort...
Artificial Intelligence Compared to Manual Selection of Prospective Surgical Residents.
Journal of surgical education
Nov 6, 2024
BACKGROUND: Artificial Intelligence (AI) in the selection of residency program applicants is a new tool that is gaining traction, with the aim of screening high numbers of applicants while introducing objectivity and mitigating bias in a traditionall...
Automated speech recognition bias in personnel selection: The case of automatically scored job interviews.
The Journal of applied psychology
Oct 31, 2024
Organizations, researchers, and software increasingly use automatic speech recognition (ASR) to transcribe speech to text. However, ASR can be less accurate for (i.e., biased against) certain demographic subgroups. This is concerning, given that the ...
Predicting special forces dropout via explainable machine learning.
European journal of sport science
Sep 24, 2024
Selecting the right individuals for a sports team, organization, or military unit has a large influence on the achievements of the organization. However, the approaches commonly used for selection are either not reporting predictive performance or no...
Artificial intelligence: Reducing inconsistency in the surgical residency application review process.
American journal of surgery
Jul 7, 2024
The incorporation of artificial intelligence (AI) into the general surgery residency recruitment process holds great promise for overcoming limitations inherent to traditional application review methods. This study assesses the consistency of AI, par...
Discriminative and exploitive stereotypes: Artificial intelligence generated images of aged care nurses and the impacts on recruitment and retention.
Nursing inquiry
Jun 28, 2024
This article uses critical discourse analysis to investigate artificial intelligence (AI) generated images of aged care nurses and considers how perspectives and perceptions impact upon the recruitment and retention of nurses. The article demonstrate...
Should my recommendation letter be written by artificial intelligence?
Canadian journal of surgery. Journal canadien de chirurgie
Jun 6, 2024
Letters of recommendation are increasingly important for the residency match. We assessed whether an artificial intelligence (AI) tool could help in writing letters of recommendation by analyzing recommendation letters written by 3 academic staff and...
Explainability does not mitigate the negative impact of incorrect AI advice in a personnel selection task.
Scientific reports
Apr 28, 2024
Despite the rise of decision support systems enabled by artificial intelligence (AI) in personnel selection, their impact on decision-making processes is largely unknown. Consequently, we conducted five experiments (N = 1403 students and Human Resour...
Residency Application Selection Committee Discriminatory Ability in Identifying Artificial Intelligence-Generated Personal Statements.
Journal of surgical education
Apr 27, 2024
OBJECTIVE: Advances in artificial intelligence (AI) have given rise to sophisticated algorithms capable of generating human-like text. The goal of this study was to evaluate the ability of human reviewers to reliably differentiate personal statements...
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