Resistance to artificial intelligence in health care: Literature review, conceptual framework, and research agenda

Y Yang, EWT Ngai, L Wang - Information & Management, 2024 - Elsevier
Resistance has historically been considered a salient obstacle to the implementation of
information systems, including healthcare information technology. However, artificial …

Artificial intelligence and machine learning

N Kühl, M Schemmer, M Goutier, G Satzger - Electronic Markets, 2022 - Springer
Within the last decade, the application of “artificial intelligence” and “machine learning” has
become popular across multiple disciplines, especially in information systems. The two …

Appropriate reliance on AI advice: Conceptualization and the effect of explanations

M Schemmer, N Kuehl, C Benz, A Bartos… - Proceedings of the 28th …, 2023 - dl.acm.org
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 …

[HTML][HTML] The explainability paradox: Challenges for xAI in digital pathology

T Evans, CO Retzlaff, C Geißler, M Kargl… - Future Generation …, 2022 - Elsevier
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 …

Expl (AI) ned: The impact of explainable artificial intelligence on users' information processing

K Bauer, M von Zahn, O Hinz - Information systems research, 2023 - pubsonline.informs.org
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 …

Human-AI collaboration: the effect of AI delegation on human task performance and task satisfaction

P Hemmer, M Westphal, M Schemmer… - Proceedings of the 28th …, 2023 - dl.acm.org
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 …

Decision control and explanations in human-AI collaboration: Improving user perceptions and compliance

M Westphal, M Vössing, G Satzger, GB Yom-Tov… - Computers in Human …, 2023 - Elsevier
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 …

Designing transparency for effective human-AI collaboration

M Vössing, N Kühl, M Lind, G Satzger - Information Systems Frontiers, 2022 - Springer
The field of artificial intelligence (AI) is advancing quickly, and systems can increasingly
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

F Cabitza, A Campagner, L Ronzio, M Cameli… - Artificial Intelligence in …, 2023 - Elsevier
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 …

[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 …