Argumentation-Based Inference and Decision Making--A Medical Perspective

By J. Fox, David Glasspool, D. Grecu, Sanjay Modgil, M. South, V. Patkar. 2007

103 citations recorded by the source corpus.

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Explanation in Artificial Intelligence: Insights from the Social Sciences (2017, background): “tion are considered in many sub-elds of articial intelligence, such as justifying autonomous agent behaviour [129, 65], debugging of machine learning models [89], explaining medical decision-making [45], and explaining predictions of classiers [157]. If we want to design, and implement intelligent a”
Explaining Explanations in AI (2018, background): “These findings, that explanations are given via conversation and resemble argumentation, reveal a mechanistic link between explanation and justification as a type of discourse (Fox et al., 2007).”
Reasons, Values, Stakeholders: A Philosophical Framework for Explainable Artificial Intelligence (2021, background): “…algorithms have begun to greatly impact human lives by guiding several consequential decision-making procedures such as hiring employees, assigning loans and credit scores, making medical diagnoses, and dealing with recidivism in the criminal justice system (see, for example, [1, 2, 3, 4, 5, 6]).”
Outlining the Design Space of Explainable Intelligent Systems for Medical Diagnosis (2019, background): “3 proposed to help doctors make decisions based on this question [17].”