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Resistance to artificial intelligence in health care: Literature review, conceptual framework, and research agenda
Resistance has historically been considered a salient obstacle to the implementation of
information systems, including healthcare information technology. However, artificial …
information systems, including healthcare information technology. However, artificial …
Artificial intelligence and machine learning
Within the last decade, the application of “artificial intelligence” and “machine learning” has
become popular across multiple disciplines, especially in information systems. The two …
become popular across multiple disciplines, especially in information systems. The two …
Appropriate reliance on AI advice: Conceptualization and the effect of explanations
AI advice is becoming increasingly popular, eg, in investment and medical treatment
decisions. As this advice is typically imperfect, decision-makers have to exert discretion as to …
decisions. As this advice is typically imperfect, decision-makers have to exert discretion as to …
[HTML][HTML] The explainability paradox: Challenges for xAI in digital pathology
The increasing prevalence of digitised workflows in diagnostic pathology opens the door to
life-saving applications of artificial intelligence (AI). Explainability is identified as a critical …
life-saving applications of artificial intelligence (AI). Explainability is identified as a critical …
Expl (AI) ned: The impact of explainable artificial intelligence on users' information processing
Because of a growing number of initiatives and regulations, predictions of modern artificial
intelligence (AI) systems increasingly come with explanations about why they behave the …
intelligence (AI) systems increasingly come with explanations about why they behave the …
Human-AI collaboration: the effect of AI delegation on human task performance and task satisfaction
Recent work has proposed artificial intelligence (AI) models that can learn to decide whether
to make a prediction for an instance of a task or to delegate it to a human by considering …
to make a prediction for an instance of a task or to delegate it to a human by considering …
Decision control and explanations in human-AI collaboration: Improving user perceptions and compliance
Human-AI collaboration has become common, integrating highly complex AI systems into
the workplace. Still, it is often ineffective; impaired perceptions–such as low trust or limited …
the workplace. Still, it is often ineffective; impaired perceptions–such as low trust or limited …
Designing transparency for effective human-AI collaboration
The field of artificial intelligence (AI) is advancing quickly, and systems can increasingly
perform a multitude of tasks that previously required human intelligence. Information …
perform a multitude of tasks that previously required human intelligence. Information …
[HTML][HTML] Rams, hounds and white boxes: investigating human–AI collaboration protocols in medical diagnosis
In this paper, we study human–AI collaboration protocols, a design-oriented construct aimed
at establishing and evaluating how humans and AI can collaborate in cognitive tasks. We …
at establishing and evaluating how humans and AI can collaborate in cognitive tasks. We …
[PDF][PDF] Human-AI collaboration in organisations: a literature review on enabling value creation
M Raftopoulos, J Hamari - 2023 - core.ac.uk
The augmentation of human capability with artificial intelligence is integral to the
advancement of next generation human-machine collaboration technologies designed to …
advancement of next generation human-machine collaboration technologies designed to …