Causal Falsification of Digital Twins
The episode discusses Rob Cornish et al.'s paper, 'Causal Falsification of Digital Twins,' which proposes using causal reasoning to find specific situations where a digital twin is wrong, rather than trying to prove it right. The authors developed new bounds that allow testing hypotheses about the twin's output even with observational data, leading to concrete failures found in a sepsis model simulation.