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I've worked on some projects that used ML and such to half-automate things, thinking that we'd get the computer to do most of the work and people would check ov
by internet_points 2y ago
I've worked on some projects that used ML and such to half-automate things, thinking that we'd get the computer to do most of the work and people would check over things and it would be quality controlled.
Three problems with this:
* salespeople constantly try to sell the automation as more complete than it is
* product owners try to push us developers into making it more fully automated
* users get lulled into thinking it's more complete than it is (and accepting suggestions instead of deeply thinking through the issues like they would if they had to think things from scratch)
- liontwist 2y agoAnd all of these are management problems.
- NonHyloMorph 2y agoWhich is a very real component of the whole system at large. (Think along the lines of assemblage/actor-network theory. Maybe fixing management is the more pressing issue then working on the task of selfreplacement in the name of profit for others. Thinking about it, the implications are interesting. What is the energyconsumption of a human thinking in comparison with the energy requirement of a possible machinic replacement?
- liontwist 2y agoYes. It’s just very hard to succeed with even the best technical execution if you do not have good management.
- internet_points 2y agoTo me they feel more like Molokh-style problems; systems that work towards more automation will always have to deal with these problems. You can't management your way out of users trusting your product too much.