Aversion to hiring algorithms: Transparency, gender profiling, and self-confidence
We run an online experiment to study the origins of algorithm aversion. Participants are in
the role of either workers or managers. Workers perform three real-effort tasks: task 1, task 2 …
the role of either workers or managers. Workers perform three real-effort tasks: task 1, task 2 …
Explainability does not mitigate the negative impact of incorrect AI advice in a personnel selection task
Despite the rise of decision support systems enabled by artificial intelligence (AI) in
personnel selection, their impact on decision-making processes is largely unknown …
personnel selection, their impact on decision-making processes is largely unknown …
Gender equity in hiring: examining the effectiveness of a personality-based algorithm
Introduction Gender biases in hiring decisions remain an issue in the workplace. Also,
current gender balancing techniques are scientifically poorly supported and lead to …
current gender balancing techniques are scientifically poorly supported and lead to …
The Initial Screening Order Problem
We investigate the role of the initial screening order (ISO) in candidate screening tasks, such
as employee hiring and academic admissions, in which a screener is tasked with selecting …
as employee hiring and academic admissions, in which a screener is tasked with selecting …
AI and discriminative decisions in recruitment: Challenging the core assumptions
P Seppälä, M Małecka - Big Data & Society, 2024 - journals.sagepub.com
In this article, we engage critically with the idea of promoting artificial intelligence (AI)
technologies in recruitment as tools to eliminate discrimination in decision-making. We show …
technologies in recruitment as tools to eliminate discrimination in decision-making. We show …
Improving the quality of hires via the use of machine learning and an expansion of the person–environment fit theory
Purpose Our proposed machine learning model contributes to improving the quality of Hire
by providing a more nuanced and comprehensive analysis of candidate attributes. Instead of …
by providing a more nuanced and comprehensive analysis of candidate attributes. Instead of …
" Diversity is Having the Diversity": Unpacking and Designing for Diversity in Applicant Selection
When selecting applicants for scholarships, universities, or jobs, practitioners often aim for a
diverse cohort of qualified recipients. However, differing articulations, constructs, and …
diverse cohort of qualified recipients. However, differing articulations, constructs, and …
Addressing diversity in hiring procedures: a generative adversarial network approach
T Marra, E Kubiak - AI and Ethics, 2024 - Springer
The combination of machine learning and organizational psychology has led to innovative
methods to address the diversity-validity dilemma in personnel selection, which is the …
methods to address the diversity-validity dilemma in personnel selection, which is the …
Augmenting Human Decision-Making in K-12 Education: The Role of Artificial Intelligence in Assisting the Recruitment and Retention of Teachers of Color for …
There is a growing need for a more diverse teacher workforce in the United States to close
the racial and ethnic gap between students and teachers. Due to the significant gap in the …
the racial and ethnic gap between students and teachers. Due to the significant gap in the …
Über das Verhältnis von Ethik und Algorithmen. Ein Problemaufriss
Gegenwärtig wird intensiv darüber diskutiert, ob künstliche Intelligenz eine sehr spezifische
menschliche Eigenschaft übernehmen kann, und zwar die, moralisch zu handeln (Floridi …
menschliche Eigenschaft übernehmen kann, und zwar die, moralisch zu handeln (Floridi …