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ML tending to make weird mistakes rather than subtle ones that make sense in context like human transcribers is likely to make them easier to spot. And there a
by notahacker 4y ago
ML tending to make weird mistakes rather than subtle ones that make sense in context like human transcribers is likely to make them easier to spot.
And there are humans in the loop too, and an enormous amount of redundancy in the questions and answer, so even plausible false transcriptions will get picked up on if they matter. Nobody gets sent to jail simply because the transcription process - human or machine - accidentally substitutes "I did it" in place of "I didn't" midway through a two hour interview.
- BartjeD 4y agoThe thing is that 'Likely' is very far away from 'always'. There is no guarantee the mistake will be easy to spot. For entertainment purposes AI transcription is awesome. For serious business applications the ability to recognize mistakes will continue to be a field to which serious attention is given. It would be interesting to see AI processes double check itself, and also run a logic check on whether the transcription makes sense. So that it can report sections flagged as incongruous or of dubious reliability.