Raw LLM Responses

Inspect the exact model output for any coded comment.

Look up by comment ID
Random samples — click to inspect
G exactly man these people are so sensitive just learn programming or use ai to yo… ytr_UgxdacoYT… G My entire life I have dedicated my time to drawing and creating. I have gotten r… ytc_Ugw_FYgTe… G Yeah but when you take away the supply of jobs by automating them- say, taking a… ytc_UgxGyjFdj… G This is completely my opinion, my thought process (my brain / model trying to ex… ytc_Ugy6Z3MSJ… G ​​@adrianmmvula8951 once upon a time you were a child who could not sit up strai… ytr_UgwsngAsx… G The problem with the notion of regulating AI is that while some Western nations … ytc_UgzStzmQo… G No body is coming to help us. AI is the 2nd wave of mass manipulation after soci… ytc_Ugw4gWEkM… G It is not that intelligent. A.I. has misidentified poisonous plants that can kil… ytc_UgwCwtgXL…
Comment
As of May 2018 the like/dislike ratio is about 51/49, so "majority" might be an overstatement ... but ... the problem of inadequate training data is worth discussing and is the obligation of everyone in the AI field to discuss. Look at the google search for something as basic as 'grandpa' and you'll see almost entirely whites in the top few dozen results. This is not a result of bias at Google Image Search, but the preponderance of examples that have the word 'grandpa' on (EXIF) or near the photograph, and the link and click history as processed by an algorithm that is proprietary to Google or Bing or Yahoo or whatever. The softer side of the question, the less technical side, is whether a company like google has an obligation to un-do the bias it picks up from the actual clicks, link, and web design behaviors of its billions of websites and users. So to the point of her video - does an image-recognition engineer have an obligation to look beyond the mass of evidence and check for bias in the less common cases. It's analogous to a statistician designing a survey to 'oversample' certain segments with low representation. ("oversampling" doesn't mean "over-representing", contrary to the misunderstanding some politicians had during the 2016 election. The numbers are normalized before the survey is published.)
youtube 2018-05-01T12:5…
Coding Result
DimensionValue
Responsibilitydistributed
Reasoningconsequentialist
Policyindustry_self
Emotionapproval
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
[ {"id":"ytr_UgyCC014PwKw1gNsT0p4AaABAg.90hfpqiVk349WJA4vy5TIB","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"}, {"id":"ytr_Ugxq7EYgHjzqCwzr5QN4AaABAg.8zH3t2SzQVX9K4CZIyLg9h","responsibility":"developer","reasoning":"deontological","policy":"regulate","emotion":"outrage"}, {"id":"ytr_Ugxq7EYgHjzqCwzr5QN4AaABAg.8zH3t2SzQVX9K4L_hdqvYW","responsibility":"distributed","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"}, {"id":"ytr_UgzOw2_UuId_9WOnrFR4AaABAg.8lVjE3jHhDW9WJAIMN8t2D","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"}, {"id":"ytr_UgwHeHZdwARg_gZKfkp4AaABAg.8YJ_h7HTSut9KPYEygx24a","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"}, {"id":"ytr_UgglI8_oCeQpHngCoAEC.8SYNeQx5afP92KfqN5z42b","responsibility":"developer","reasoning":"deontological","policy":"regulate","emotion":"approval"}, {"id":"ytr_Ugi6DHYKx8YUMngCoAEC.8RehwotTueh8fh_z-XPGiY","responsibility":"distributed","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"}, {"id":"ytr_UgjF2qj63lIzHHgCoAEC.8ROnyH1SVdNABw8Ocu5aE8","responsibility":"developer","reasoning":"deontological","policy":"ban","emotion":"outrage"}, {"id":"ytr_UggQG6eUAXHh13gCoAEC.8QvIvb-6MgB92KhcvD9Bg_","responsibility":"developer","reasoning":"consequentialist","policy":"regulate","emotion":"approval"}, {"id":"ytr_UgiOUvYyrawYc3gCoAEC.8QjWWcdzynm92KgtJm6ohm","responsibility":"developer","reasoning":"deontological","policy":"regulate","emotion":"approval"} ]