A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice
The rising use of artificially intelligent (AI) technologies, including generative AI tools, in
organizations is undeniable. As these systems become increasingly integrated into …
organizations is undeniable. As these systems become increasingly integrated into …
Human-AI collaboration in data science: Exploring data scientists' perceptions of automated AI
The rapid advancement of artificial intelligence (AI) is changing our lives in many ways. One
application domain is data science. New techniques in automating the creation of AI, known …
application domain is data science. New techniques in automating the creation of AI, known …
[PDF][PDF] From human-computer interaction to human-AI Interaction: new challenges and opportunities for enabling human-centered AI
While AI has benefited humans, it may also harm humans if not appropriately developed. We
conducted a literature review of current related work in developing AI systems from an HCI …
conducted a literature review of current related work in developing AI systems from an HCI …
AI knowledge: Improving AI delegation through human enablement
When collaborating with artificial intelligence (AI), humans can often delegate tasks to
leverage complementary AI competencies. However, humans often delegate inefficiently …
leverage complementary AI competencies. However, humans often delegate inefficiently …
From human-human collaboration to Human-AI collaboration: Designing AI systems that can work together with people
Artificial Intelligent (AI) and Machine Learning (ML) algorithms are coming out of research
labs into the real-world applications, and recent research has focused a lot on Human-AI …
labs into the real-world applications, and recent research has focused a lot on Human-AI …
Towards responsible AI: A design space exploration of human-centered artificial intelligence user interfaces to investigate fairness
With Artificial intelligence (AI) to aid or automate decision-making advancing rapidly, a
particular concern is its fairness. In order to create reliable, safe and trustworthy systems …
particular concern is its fairness. In order to create reliable, safe and trustworthy systems …
Algorithmic management reimagined for workers and by workers: Centering worker well-being in gig work
Prior research has studied the detrimental impact of algorithmic management on gig workers
and strategies that workers devise in response. However, little work has investigated …
and strategies that workers devise in response. However, little work has investigated …
Check the box! How to deal with automation bias in AI-based personnel selection
C Kupfer, R Prassl, J Fleiß, C Malin… - Frontiers in …, 2023 - frontiersin.org
Artificial Intelligence (AI) as decision support for personnel preselection, eg, in the form of a
dashboard, promises a more effective and fairer selection process. However, AI-based …
dashboard, promises a more effective and fairer selection process. However, AI-based …
Towards a science of human-AI decision making: An overview of design space in empirical human-subject studies
AI systems are adopted in numerous domains due to their increasingly strong predictive
performance. However, in high-stakes domains such as criminal justice and healthcare, full …
performance. However, in high-stakes domains such as criminal justice and healthcare, full …
Assessing the fairness of ai systems: Ai practitioners' processes, challenges, and needs for support
Various tools and practices have been developed to support practitioners in identifying,
assessing, and mitigating fairness-related harms caused by AI systems. However, prior …
assessing, and mitigating fairness-related harms caused by AI systems. However, prior …