Poster
in
Workshop: HCAI@NeurIPS 2022, Human Centered AI
Pragmatic AI Explanations
Shi Feng · Chenhao Tan
Keywords: [ interpretability ] [ pragmatics ]
Abstract:
We use the Rational Speech Act framework to examine AI explanations as a pragmatic inference process. This reveals fatal flaws in how we currently train and deploy AI explainers. To evolve from level-0 explanations to level-1, we present two proposals for data collection and training: learning from L1 feedback, and learning from S1 supervision.
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