lightbulbPractical problemAlgorithmic Fairness in Hiring and Human Resource Management
During hiring or admissions, material screening is prone to bias and difficult to keep consistent.Fairness, Bias, and Research Governance / Algorithmic Fairness in Hiring and Human Resource Management
During hiring or admissions, material screening is prone to bias and difficult to keep consistent.
Similar questions
lightbulbPractical problemAlgorithmic Fairness in Hiring and Human Resource Management
During the pandemic, unemployed drivers lacked income security and public transit could not meet urban needs.lightbulbPractical problemAlgorithmic Fairness in Hiring and Human Resource Management
Knowledge workers lack effective AI training and easily misunderstand or misuse AI tools.lightbulbPractical problemAlgorithmic Fairness in Hiring and Human Resource Management
Job seekers and recruiters worry about bias and fairness issues arising from automated hiring tools.lightbulbPractical problemAlgorithmic Fairness in Hiring and Human Resource Management
AI in HRM applications triggers conflicts among stakeholders over fairness and privacy.lightbulbPractical problemAlgorithmic Fairness in Hiring and Human Resource Management
Employees generally distrust algorithmic evaluation, damaging human resource management efficiency.Related papers
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