alt Hacker NewsSo, in human interaction: When the business logic goes wrong because it was described with a lack of specificity, then: Who gets blamed for this?
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necovek • today at 9:21 AM
Depends on what was missing.
If we used MacOS throughout the org, and we asked a SW dev team to build inventory tracking software without specifying the OS, I'd squarely put the blame on SW team for building it for Linux or Windows.
(Yes, it should be a blameless culture, but if an obvious assumption like this is broken, someone is intentionally messing with you most likely)
There exists an expected level of context knowledge that is frequently underspecified.
I wasn't specific, because I'd rather not piss of my employer. But anyone who works in a similar space will recognise the pattern.
It's not underspecified. More... Overspecified. Because it needs to be. But AI will assume that "impossible" things never happen, and choose a happy path guaranteed to result in failure.
You have to build for bad data. Comes with any business of age. Comes with international transactions. Comes with human mistakes that just build up over the decades.
The apparent current state of a thing, is not representative of its history, and what it may or may not contain. And so you have nonsensical rules, that are aimed at catching the bad data, so you have a chance to transform it into good data when it gets used, without needing to mine the entire petabytes of historical data you have sitting around in advance.