3 ms·
It's easy to blame this on imperfect technology but I'm not so sure. Couple of months back when all tech companies started their holier than though publicity ca
by cowl 5y ago
It's easy to blame this on imperfect technology but I'm not so sure. Couple of months back when all tech companies started their holier than though publicity campaigns with token actions we faced the same issue.
"Blacklist" was banned as term because it was deemed racist. No matter that people understand black and white outside the race issue.
So if blacklist is deemed by people , not technology, as racist; thus removing context from the equation, why is AI wrong to assume that "attack the black soldier in C4" is hate speech?
- TheOtherHobbes 5y agoIt's why feature extraction/stat bucket AI sucks. Human interactions have a social/cultural context. You can't just recognise $thing, you have to recognise how $thing depends on $context for the correct interpretation. Current AI either ignores context completely or doesn't parse it correctly. It's a rediscovery of the ancient "Time flies like an arrow, fruit flies like a banana" problem. If you're out on a date and you say "Let's go back to mine" it implies one thing. If you say it to some friends after an evening out it usually means something completely different. Sometimes it means the same thing - but you need to know a lot about the people involved to be able to infer that accurately. And sometimes humans can't parse these nuances accurately either. AI-by-grep or stat bucket can't handle them at all, because the inferences are contextual and specific to situations and/or individuals. They can't be extracted from just the words themselves. Minsky & co researched some of this in the 70s, and eventually it motivated the semantic web people. But it was too hard a problem for the technology of the time. Now it seems somewhat forgotten.