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Research Articles

The role of domain expertise in trusting and following explainable AI decision support systems

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Pages 110-138 | Received 28 Oct 2020, Accepted 19 Jul 2021, Published online: 11 Aug 2021

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Read on this site (3)

Maximilian Förster, Philipp Hühn, Mathias Klier & Kilian Kluge. (2023) User-centric explainable AI: design and evaluation of an approach to generate coherent counterfactual explanations for structured data. Journal of Decision Systems 32:4, pages 700-731.
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Emmanuel Monod, Raphael Lissillour, Antonia Köster & Qi Jiayin. (2023) Does AI control or support? Power shifts after AI system implementation in customer relationship management. Journal of Decision Systems 32:3, pages 542-565.
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Jan-Peter Kucklick. (2023) HIEF: a holistic interpretability and explainability framework. Journal of Decision Systems 0:0, pages 1-41.
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Articles from other publishers (6)

Julia Brasse, Hanna Rebecca Broder, Maximilian Förster, Mathias Klier & Irina Sigler. (2023) Explainable artificial intelligence in information systems: A review of the status quo and future research directions. Electronic Markets 33:1.
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Astrid Bertrand, James R. Eagan & Winston Maxwell. (2023) Questioning the ability of feature-based explanations to empower non-experts in robo-advised financial decision-making. Questioning the ability of feature-based explanations to empower non-experts in robo-advised financial decision-making.
Venkatesh Sivaraman, Leigh A Bukowski, Joel Levin, Jeremy M. Kahn & Adam Perer. (2023) Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care. Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care.
Simon Robatto Simard, Michel Gamache & Philippe Doyon-Poulin. (2023) Current Practices for Preventive Maintenance and Expectations for Predictive Maintenance in East-Canadian Mines. Mining 3:1, pages 26-53.
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Carolin Wienrich, Astrid Carolus, David Roth-Isigkeit & Andreas Hotho. (2022) Inhibitors and Enablers to Explainable AI Success: A Systematic Examination of Explanation Complexity and Individual Characteristics. Multimodal Technologies and Interaction 6:12, pages 106.
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Astrid Bertrand, Rafik Belloum, James R. Eagan & Winston Maxwell. (2022) How Cognitive Biases Affect XAI-assisted Decision-making. How Cognitive Biases Affect XAI-assisted Decision-making.

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