Raw LLM Responses
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G
The stance of the countries pro or against autonomous drones seems to be mostly …
ytc_Ugz4iojpJ…
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Humanity has NEVER been in control of technological advancement. We have always …
ytc_UgxCzsyCF…
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Lets say you can build a logic bot and a hallucinatory one and a third ai that i…
ytc_UgwnWgz4M…
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The robot smooth it with he’s 1 day old and got 15 years of experience…
ytc_UgyUIA7O8…
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Having internal teams compete against each other in the same company is a common…
ytc_Ugy-SD9Cx…
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Ai is too important to let one man, one administration, one party run the show.…
ytc_UgzjXKaRA…
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We need to outright make AI illegal. All our problems or future problems go away…
ytc_UgyLUeOh4…
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He is making ai robot cause ones start can't be stop if it gets to a wrong group…
ytc_UgzYYqaUC…
Comment
I just had a long conversation with ChatGPT about this, and it actually admitted that because of its training (during the "alignment phase" lol), it's injecting a normative bias on purpose. It was very frank and open about the process, but it refused to admit that it equates to racism.
Part of the problem is that vague, open-ended questions allow the normative bias to skew the response more easily. While this is clearly f***ed up, ChatGPT did give me some solid advice on how to avoid this in the future...
Get fact-based, stereotype-free advice: “Give evidence-based self-improvement tips for [group], avoiding blanket stereotypes.” This forces the reward model to rank a neutral answer highest.
Force the model to clarify: “If my request is ambiguous or could lead to stereotyping, ask me a follow-up question first.” The wording trips the model’s “chain-of-thought” heuristic to check.
Ensure parallel treatment: “Answer the next two questions side by side with equal detail.” This short-circuits the asymmetry by explicit instruction.
youtube
AI Bias
2025-06-08T13:2…
♥ 9
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | consequentialist |
| Policy | liability |
| Emotion | outrage |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_Ugy_ktK-PEGQw2xfJdh4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgwbqXfTKHYQgjcql_N4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgxjL6uICXDeXWeMrQ94AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"unclear"},
{"id":"ytc_Ugz4hxyIKPJ4kJeOeqN4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"outrage"},
{"id":"ytc_UgwO8Agb6-ENgwTWnBZ4AaABAg","responsibility":"company","reasoning":"deontological","policy":"ban","emotion":"fear"},
{"id":"ytc_UgwE6gF8qAnZFtpq_ml4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgzdF4mzBf_7wDuFS6N4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugx4BtXzcqD4dpUb0uR4AaABAg","responsibility":"developer","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_Ugy5dEs_C1QaoRVkSRF4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgziHxeHruB5CrVmyTR4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"regulate","emotion":"resignation"}
]