helpResearch questionAlgorithmic Fairness in Hiring and Human Resource Management
During public health crises, how can unions support workers and communities through social and technical means?Direction: Fairness, Bias, and Research Governance
Algorithmic Fairness in Hiring and Human Resource Management
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24 items
helpResearch questionAlgorithmic Fairness in Hiring and Human Resource Management
How can a non-profit-centered labor market model embedding fairness and community-building values be designed?helpResearch questionAlgorithmic Fairness in Hiring and Human Resource Management
Can crisis-based sociotechnical infrastructure extend into non-crisis periods?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.helpResearch questionAlgorithmic Fairness in Hiring and Human Resource Management
What main challenges do knowledge workers face when using AI in rapidly changing work environments?helpResearch questionAlgorithmic Fairness in Hiring and Human Resource Management
How can AI training frameworks be designed to better meet knowledge workers' needs?helpResearch questionAlgorithmic Fairness in Hiring and Human Resource Management
How can ethics and fairness be incorporated into AI training for knowledge workers?lightbulbPractical problemAlgorithmic Fairness in Hiring and Human Resource Management
Knowledge workers lack effective AI training and easily misunderstand or misuse AI tools.helpResearch questionAlgorithmic Fairness in Hiring and Human Resource Management
How can real-time interactive systems mitigate cognitive biases (e.g., order effects, anchoring) in material screening?helpResearch questionAlgorithmic Fairness in Hiring and Human Resource Management
How can machine learning and visualization design be combined to improve fairness and consistency in screening decisions?helpResearch questionAlgorithmic Fairness in Hiring and Human Resource Management
How can user preference prediction models help identify and mitigate potential biases in screening decisions?lightbulbPractical problemAlgorithmic Fairness in Hiring and Human Resource Management
During hiring or admissions, material screening is prone to bias and difficult to keep consistent.helpResearch questionAlgorithmic Fairness in Hiring and Human Resource Management
How do automated hiring tools affect bias and decision quality in the recruitment process?helpResearch questionAlgorithmic Fairness in Hiring and Human Resource Management
What differences exist between recruiters' and job seekers' needs and concerns regarding automated hiring tools?helpResearch questionAlgorithmic Fairness in Hiring and Human Resource Management
What measures can reduce bias in automated hiring tools while improving hiring outcomes?lightbulbPractical problemAlgorithmic Fairness in Hiring and Human Resource Management
Job seekers and recruiters worry about bias and fairness issues arising from automated hiring tools.helpResearch questionAlgorithmic Fairness in Hiring and Human Resource Management
How can AI design in HRM (human resource management) alleviate divergent fairness perceptions among different stakeholders?helpResearch questionAlgorithmic Fairness in Hiring and Human Resource Management
How can tensions among transparency, explainability, and privacy protection be balanced in AI design?helpResearch questionAlgorithmic Fairness in Hiring and Human Resource Management
How can participatory design help clarify fairness and explainability requirements for AI in HRM?lightbulbPractical problemAlgorithmic Fairness in Hiring and Human Resource Management
AI in HRM applications triggers conflicts among stakeholders over fairness and privacy.helpResearch questionAlgorithmic Fairness in Hiring and Human Resource Management
What are the specific reasons behind employees' resistance to workplace algorithmic evaluation?helpResearch questionAlgorithmic Fairness in Hiring and Human Resource Management
How can the six burdens employees feel in algorithmic evaluation (emotional, psychological, bias, etc.) be alleviated?helpResearch questionAlgorithmic Fairness in Hiring and Human Resource Management
How do transparency, explainability, and human-AI collaboration affect employees' acceptance of algorithmic evaluation?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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