On Interactive Explanations as Non-Monotonic Reasoning
Guilherme Paulino-Passos, Francesca Toni

TL;DR
This paper models interactive explanations as non-monotonic reasoning processes, addressing inconsistencies and improving the reliability of explanations across multiple inputs in user-system interactions.
Contribution
It introduces a formal model of interactive explanations as non-monotonic reasoning, enabling analysis and resolution of explanation inconsistencies.
Findings
Addresses explanation inconsistency issues
Proposes a formal non-monotonic reasoning framework
Provides insights into interactive explanation properties
Abstract
Recent work shows issues of consistency with explanations, with methods generating local explanations that seem reasonable instance-wise, but that are inconsistent across instances. This suggests not only that instance-wise explanations can be unreliable, but mainly that, when interacting with a system via multiple inputs, a user may actually lose confidence in the system. To better analyse this issue, in this work we treat explanations as objects that can be subject to reasoning and present a formal model of the interactive scenario between user and system, via sequences of inputs, outputs, and explanations. We argue that explanations can be thought of as committing to some model behaviour (even if only prima facie), suggesting a form of entailment, which, we argue, should be thought of as non-monotonic. This allows: 1) to solve some considered inconsistencies in explanation, such as…
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Taxonomy
TopicsSemantic Web and Ontologies · Explainable Artificial Intelligence (XAI) · Advanced Database Systems and Queries
