Discover and read the best of Twitter Threads about #ML4H

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1/NEW: Today the SPIRIT-AI and CONSORT-AI Working Group have published the first reporting guidelines for clinical trials evaluating AI interventions in @NatureMedicine @LancetDigitalH @bmj_latest
3/We need robust evaluations of *effectiveness* for AI interventions. As we move towards RCTs, #spiritAI and #consortAI will be crucial to ensuring robust, quality evidence.
Read 11 tweets
A few nuggets from @geoffreyhinton's talk from earlier today at the #ml4h unconference. First up, the distinction between statistics and AI (and presumably ML by implication). Overall, I think these are pretty clean contrasts:
On interpretability: It's going to be very hard to explain the contribution of 1000s of statistical regularities that a net uses to produce a decision. Humans are really bad at explaining their decisions (most are post-hoc), so we shouldn't hold neural nets to a double standard
Related to interpretability: Regulating neural nets should be based on how it performs, not based on how it works. This is what we do with people too.
Read 7 tweets

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