AI RESEARCH
Causal Discovery Should Embrace the Wisdom of the Crowd
arXiv CS.LG
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ArXi:2603.02678v3 Announce Type: replace This paper argues for recognizing an emerging paradigm of causal learning by wisdom of the crowd. Recent developments in government, industry, and research point to the rise of decentralized and crowd-based approaches within causal modeling, where causal knowledge distributed across many contributors can be systematically elicited and integrated with causal learning workflows.