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Machine learning is not something that can solve for all X. Where data is sparse OR where there is uncertainty, there needs to be a fallback. We need to come u
by RandyRanderson 5y ago
Machine learning is not something that can solve for all X. Where data is sparse OR where there is uncertainty, there needs to be a fallback.
We need to come up with UI patterns and flows that reflect this otherwise ML solns will continue to disappoint.
- qayxc 5y ago> We need to come up with UI patterns and flows that reflect this I'm not convinced this solves anything or even helps - UI patterns can easily be abused by bots and just shift the problem into a different direction.
- RandyRanderson 5y agoRight. I think the bot issues will always be with us. I'm just suggesting that there is a huge class of problems ML can solve but because of 'tail risk' (bad behaviour at extreme X values), ML solns can fail entirely. We need to develop a way to work with ML st most queries can be answered by ML but there is an exception pattern that defaults to a manual, prescriptive process, or whatever. Also we need APIs to allow detection of that state.