xWhyL: Causal Interactive Learning
Explanations are central to causal reasoning, and cognitive science has long established that the human drive to explain is itself a mechanism for learning about causality. Despite this, learning from those abductive signals is largely ignored in artificial intelligence. While explainable AI (XAI) increasingly draws on causal models to generate explanations, the converse direction about what…
We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.
