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G If AI accomplishes in a nanosecond what a team of scientists would need a month … ytc_UgxgqZObD… G Um the robot said I'll take over the power grid and send a drone army? Ummm that… ytc_UgyDZuxUR… G I wonder if the natural warm air from that country would play some part in causi… rdc_eue4ta8 G It really is not taking your art and that’s the problem. If people actually rese… ytr_Ugze7qYJt… G that was messed up what the man had to go through. but face recognition tech. is… ytc_UgwohZIXh… G Not the freakiest. That goes to janitor ai. And if we include apps. Linky. And c… ytc_UgyzTRTva… G Revolution needed now, but I highly doubt the LLM AI models will be able to reli… ytc_UgxlCk-S1… G Cool, so, another take: If you can make in person, human therapy cheaper, dope. … ytc_UgwXRr464…
Comment
When you train AI on a dataset, the AI gains all the biases inherent in the dataset. So yes, in your example, training your speech recognition AI using only people from Boston for instance, would leave it poorly equipped to deal with people with other accents. The problem is that we are often unaware of our own biases, so it's very hard to craft truly representational data sets to train AI on. The same also goes for speech impediments as well.
reddit AI Responsibility 1612439510.0 ♥ 121
Coding Result
DimensionValue
Responsibilitydeveloper
Reasoningconsequentialist
Policyindustry_self
Emotionresignation
Coded at2026-04-25T08:33:43.502452
Raw LLM Response
[{"id":"rdc_glzgshn","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"fear"}, {"id":"rdc_gm0ks7o","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"indifference"}, {"id":"rdc_glze2ut","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"outrage"}, {"id":"rdc_glzez81","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"unclear"}, {"id":"rdc_glz86a2","responsibility":"developer","reasoning":"consequentialist","policy":"industry_self","emotion":"resignation"}]