Raw LLM Responses
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G
Good, because the only negative "Feedback" reports I've ever sent DDG were due t…
rdc_n407mis
G
Why do politicians so badly want people to work? ai could lead to abundances so …
ytc_UgwrWgEtR…
G
I'm not sure if that's true or not, but under Obama, they didn't restrict what o…
rdc_dcwot1b
G
Ultimately, it comes down to personal taste and individual preferences, but not …
ytc_Ugwf1xz_u…
G
Palantir released earnings today (2/3/2025), Revenue is up 45% yoy.
EPS beat. Gu…
ytc_Ugz0Qfvsh…
G
technically the automation of fabric making was as a whole the first domino to t…
ytc_UgzBbP3eo…
G
It's fun and just feels good to be polite to AI, e.g. I told Grok, "Thank you Gr…
ytc_Ugy5_bcHe…
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6:44 I've worked at a lot of companies and a handful of tech companies and OpenA…
ytc_Ugy6Ka-D9…
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"}
]