Emerging Perspectives on Medical Decision Support: Co-Designing XAI

Workshop paper

Henrik Mucha, Sebastian Robert

Cite

APA Click to copy
Mucha, H., & Robert, S. Emerging Perspectives on Medical Decision Support: Co-Designing XAI.

Chicago/Turabian Click to copy
Mucha, Henrik, and Sebastian Robert. “Emerging Perspectives on Medical Decision Support: Co-Designing XAI” (n.d.).

MLA Click to copy
Mucha, Henrik, and Sebastian Robert. Emerging Perspectives on Medical Decision Support: Co-Designing XAI.

BibTeX Click to copy

@article{henrik-a,
  title = {Emerging Perspectives on Medical Decision Support: Co-Designing XAI},
  author = {Mucha, Henrik and Robert, Sebastian}
}

Abstract
Artificial Intelligence (AI) and Machine Learning (ML) promise to significantly enhance the capabilities of decision support systems in medicine. Yet, if these systems fail to provide
an understandable rationale of the decision making pro-
cess the adoption of this powerful technology will be diffi- cult. Hence, there is growing interest in Explainable Artificial Intelligence (XAI). Explanations that speak the language of the user are a cornerstone for Fair AI. In this position paper, we reflect on research about XAI and designing decision support in medicine. From there, we lay out an approach to use co-design methodology to explore how users perceive and interact with explanations of decision support systems.

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