Locally-Minimal Probabilistic Explanations

arXiv:2312.11831v3 Announce Type: replace
Abstract: Explainable Artificial Intelligence (XAI) is widely regarding as a cornerstone of trustworthy AI. Unfortunately, most work on XAI offers no guarantees of rigor. In high-stakes domains, e.g. uses of AI that impact humans, the lack of rigor of explanations can have disastrous consequences. Formal abductive explanations offer crucial guarantees of rigor and so are of interest in high-stakes uses of machine learning (ML). One drawback of abductive explanations is explanation size, justified by the cognitive …

abstract artificial artificial intelligence arxiv consequences cs.ai cs.lg domains explainable artificial intelligence humans impact intelligence trustworthy trustworthy ai type work xai