Raw LLM Responses
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What people do not understand or under estimate the power of AI...it can fake or…
ytc_UgzWRd1Eh…
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The notice in the link at [https://www.regulations.gov/document/DHS-2021-0015-00…
rdc_hmmaa1w
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i never gonna understand that xqc quote because like.
if an ai can do better tha…
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I find it funny how content creators make a post about information that is mind …
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What (in AI technology) is international footprints? I don't understand exactly …
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the problem with AI is people like this. If you think AI's biggest issue is sav…
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Because it is expensive. Also, you need to be located near the ocean or sea.…
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Its almost like this guy doesn't live in the same world as us. "We wouldn't want…
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Comment
Untill Logic is utilized in AI biases will continue. Us Engineers use Logic
It’s built for speed not Logic, Logic slows it down.
Right now, most AI systems work by predicting patterns from the massive amount of data they’ve been trained on. That means they inherit not just knowledge, but also the biases, assumptions, and cultural framing present in that data.
Logic, on the other hand, is rule-based, transparent, and testable. If we built AI with a stronger layer of logical reasoning:
• Biases could be detected → logic can expose contradictions between evidence and conclusions.
• Decisions could be explained → logic makes clear why an answer was given.
• Neutrality could be enforced → by requiring reasoning to pass logical checks rather than relying solely on probability.
4. What It Would Look Like in Use
• Ask AI a question.
• It produces a draft answer using pattern recognition.
• The Logic Machine checks: “Does this contradict known facts? Is the reasoning transparent?”
• If yes → output is flagged or rejected.
• If no → output is validated and delivered.
youtube
AI Governance
2025-10-03T10:1…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | mixed |
| Policy | regulate |
| Emotion | mixed |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_UgxxQYlsZymChyVw19t4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzKz_7QdsMw_OfnPGR4AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_UgyLxljpKEfbwm3B5gt4AaABAg","responsibility":"unclear","reasoning":"deontological","policy":"unclear","emotion":"resignation"},
{"id":"ytc_UgzieOth2nDrY3_b2DR4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_UgyKftSaUAOWRJ0fmXJ4AaABAg","responsibility":"company","reasoning":"unclear","policy":"none","emotion":"outrage"},
{"id":"ytc_UgyI2fuvUomiOXgKtvV4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_UgxYqsltqBFOq5ZfVwB4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgyoLefoh89ONUBz1Kd4AaABAg","responsibility":"creator","reasoning":"deontological","policy":"regulate","emotion":"approval"},
{"id":"ytc_UgyNPWXW_pBeF9NibBF4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"regulate","emotion":"indifference"},
{"id":"ytc_UgyOCJg43TEcZa_mkR54AaABAg","responsibility":"developer","reasoning":"mixed","policy":"regulate","emotion":"mixed"}
]