AIMC Topic: Personnel Selection

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Leveraging deep learning for the detection of socially desirable tendencies in personnel selection: A proof-of-concept.

PloS one
We propose a deep learning-based method for detecting Socially Desirable Responding (SDR)-the tendency for individuals to distort questionnaire responses to present themselves in a favorable light. Our objective is to showcase that such novel methods...

Lay beliefs about AI assessment of interpersonal skills in personnel selection.

Scientific reports
Artificial intelligence (AI) is revolutionizing talent acquisition, with organizations increasingly replacing humans with AI technologies in personnel selection processes. Field studies of nurses provide preliminary evidence that AI can outperform hu...

Whither bias goes, I will go: An integrative, systematic review of algorithmic bias mitigation.

The Journal of applied psychology
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
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
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
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
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
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
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
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...