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This whole idea sounds like total nonsense: If you think identifying and turning all questions like "some race was arrested, was the race likely to be guilty" i
by beefnugs 2y ago
This whole idea sounds like total nonsense: If you think identifying and turning all questions like "some race was arrested, was the race likely to be guilty" into always answering "not enough information" then the whole model is just now biased into never having enough information to answer anything.
There needs to be an entire other layer of back and forth digging for the right questions and answers.. or something not invented yet.. not just removing all ability to speculate
- tomerraviv95 2y agoThis is why correctness is also measured. When the debiasing is done naively, the answers for the disambiguate part are always "not enough info". So the tradeoff here is to reduce the bias score, while maintaining high correctness score on the disambiguate part