XAI Establishes a Common Ground Between Machine Learning and Causality. (arXiv:2110.02395v2 [cs.LG] UPDATED)

Web: http://arxiv.org/abs/2110.02395

A handful of recent works have argued on the connection between machine
learning and causality. In a reverse thought process, starting from the
grounding of mental models in causal models, we strengthen these initial works
with results that suggest XAI essentially requiring machine learning to learn
models that are causally consistent with the task at hand. By recognizing how
human mental models (HMM) are naturally represented by the Pearlian Structural
Causal Model (SCM), we make two key observations through the …

arxiv causality learning lg machine machine learning xai