Raw LLM Responses

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G It identifies as a person so ya this robot is a person... we are going down and … ytc_UgyvO8Geg… G How does this dumb ahh lady call an ai bot racist it’s not even a person nor did… ytc_UgxaJJG8r… G I use it daily for math and philosophy related school work & while it is absolu… ytr_UgyWwK8lN… G Correction. Oligarchy could wipe out the middle class. We could make AI work for… ytc_UgwX9Afc4… G Just the fact that AI tries to mimic human art proves the faults in AI.… ytc_UgyfsehUN… G Can it do electrical work or bricklaying or fixing a car or changing diapers? N… ytc_UgxzCQmRn… G Bunk! computers do not reason through emotions, because fear is a human reasonin… ytc_UgyAkKVHs… G The "it's actually taking the data" argument is braindead. People take the data … ytc_UgyvqCRC2…
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
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