Raw LLM Responses

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G In the end, u say exactly how I feel. I'm starting my 5th semester in animation … ytc_Ugx0s4QiB… G Always treat everyone the same way we want to be treated inclusive machines no m… ytc_UgwelB636… G Indeed. But it is not the ChatGPT's fault. ...Parents let son use the AI ...Son… ytc_UgxCPRokz… G But why do we have to use it for those jobs? They still don’t look at the grid t… ytc_UgzNqArOC… G I'm into flight simulator and recently I subscribed to a third party ATC addon. … ytc_UgzjyMHcq… G I legit only use AI for persnal use and fun like profile picture for xbox and p… ytc_UgybhqplX… G HR was never there to be your friend. You do not have support to speak against a… rdc_ohwct2y G The way intelligent AI will treat humans can be predicted by history and how civ… ytc_UgxaRa3p-…
Comment
Facts: "Face recognition algorithms boast high classification accuracy (over 90%), but these outcomes are not universal. A growing body of research exposes divergent error rates across demographic groups, with the poorest accuracy consistently found in subjects who are female, Black, and 18-30 years old. In the landmark 2018 “Gender Shades” project, an intersectional approach was applied to appraise three gender classification algorithms, including those developed by IBM and Microsoft. Subjects were grouped into four categories: darker-skinned females, darker-skinned males, lighter-skinned females, and lighter-skinned males. All three algorithms performed the worst on darker-skinned females, with error rates up to 34% higher than for lighter-skinned males (Figure 1). Independent assessment by the National Institute of Standards and Technology (NIST) has confirmed these studies, finding that face recognition technologies across 189 algorithms are least accurate on women of color." ~ Harvard University
youtube AI Harm Incident 2023-08-14T12:1… ♥ 6
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policyunclear
Emotionindifference
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
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