Human-AI interaction in human resource management: Understanding why employees resist algorithmic evaluation at workplaces and how to mitigate burdens
Recently, Artificial Intelligence (AI) has been used to enable efficient decision-making in
managerial and organizational contexts, ranging from employment to dismissal. However, to …
managerial and organizational contexts, ranging from employment to dismissal. However, to …
Designing fair AI in human resource management: Understanding tensions surrounding algorithmic evaluation and envisioning stakeholder-centered solutions
Enterprises have recently adopted AI to human resource management (HRM) to evaluate
employees' work performance evaluation. However, in such an HRM context where multiple …
employees' work performance evaluation. However, in such an HRM context where multiple …
Algorithmic hiring in practice: Recruiter and HR Professional's perspectives on AI use in hiring
The use of AI-enabled hiring software raises questions about the practice of Human
Resource (HR) professionals' use of the software and its consequences. We interviewed 15 …
Resource (HR) professionals' use of the software and its consequences. We interviewed 15 …
Participatory algorithmic management: Elicitation methods for worker well-being models
Artificial intelligence is increasingly being used to manage the workforce. Algorithmic
management promises organizational efficiency, but often undermines worker well-being …
management promises organizational efficiency, but often undermines worker well-being …
Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management
MK Lee - Big Data & Society, 2018 - journals.sagepub.com
Algorithms increasingly make managerial decisions that people used to make. Perceptions
of algorithms, regardless of the algorithms' actual performance, can significantly influence …
of algorithms, regardless of the algorithms' actual performance, can significantly influence …
Re-examining whether, why, and how human-AI interaction is uniquely difficult to design
Artificial Intelligence (AI) plays an increasingly important role in improving HCI and user
experience. Yet many challenges persist in designing and innovating valuable human-AI …
experience. Yet many challenges persist in designing and innovating valuable human-AI …
Towards a science of human-ai decision making: a survey of empirical studies
As AI systems demonstrate increasingly strong predictive performance, their adoption has
grown in numerous domains. However, in high-stakes domains such as criminal justice and …
grown in numerous domains. However, in high-stakes domains such as criminal justice and …
Investigations of performance and bias in human-AI teamwork in hiring
In AI-assisted decision-making, effective hybrid (human-AI) teamwork is not solely
dependent on AI performance alone, but also on its impact on human decision-making …
dependent on AI performance alone, but also on its impact on human decision-making …
Stakeholder-Centered AI Design: Co-Designing Worker Tools with Gig Workers through Data Probes
AI technologies continue to advance from digital assistants to assisted decision-making.
However, designing AI remains a challenge given its unknown outcomes and uses. One …
However, designing AI remains a challenge given its unknown outcomes and uses. One …
On the influence of explainable AI on automation bias
Artificial intelligence (AI) is gaining momentum, and its importance for the future of work in
many areas, such as medicine and banking, is continuously rising. However, insights on the …
many areas, such as medicine and banking, is continuously rising. However, insights on the …