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"Garbage In, Garbage Out" apparently dates back to 1957. I remember the expression from the very first computer book I read in the 80s. The idea that this con
by CoolGuySteve 6y ago
"Garbage In, Garbage Out" apparently dates back to 1957. I remember the expression from the very first computer book I read in the 80s.
The idea that this concept, one almost as old as computers and practically a theorem of computation, would somehow be racist or trying to paper over racism is ridiculous.
- kennywinker 6y agoGIGO, which in this context would translate to something like "using a bad dataset means there is a problem with the data, not that the tool is racist". I'm not an expert, but I think the argument here is it's far far too easy to have a "garbage" dataset with these tools. I.e. one that only functions correctly for some racial groups (like this one does). That's only racist if you then try to use it in a situation where it comes in contact with multiple racial groups - like, virtually anywhere in the real world.
- ashtonkem 6y agoNarrowly scoped to GIGO, the concept can be traced more generally back to Charles Babbage in the 1800s. > On two occasions I have been asked, 'Pray, Mr. Babbage, if you put into the machine wrong figures, will the right answers come out?' I am not able rightly to apprehend the kind of confusion of ideas that could provoke such a question. I couldn’t tell you when the discussion about bias and unreliability in ML training sets started, not my field of expertise.