Raw LLM Responses
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G
Do people really not get that tjis constant "AI will never" is precisely what le…
ytc_UgxnU1da5…
G
GOAT. Im from Argentina, so im not speak emglish naturally, and in every spanish…
ytc_UgxPg47mH…
G
While i love Ai designs and all real artists are amazing. But at least some Ai d…
ytc_UgwskP3G2…
G
The way AI bro's minds work is hillarious, it shows you how basicly they view th…
ytc_UgxYGv6Mb…
G
I get it 100% now I’m not here for people who don’t use AI properly like going a…
ytc_UgytOPqyp…
G
Even when unsupervised self-driving is available, it will never be as fast, comf…
ytc_UgyZhUjQH…
G
Hydraulics are the worst thing you could use in a robot , besides , do you have …
ytr_UgxhoJmdq…
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Something that I do for fun is just collecting AI art
A lot of people will sell …
ytc_Ugzmzz9PI…
Comment
By implementing logical rules and conditions, AI could have acted as an automated watchdog:
1. Preventative Controls:
• If a transaction exceeds a certain threshold, then it requires dual approval.
• When an approval chain is bypassed, flag it for review.
• How does this compare to normal transaction patterns?
2. Detection & Investigation:
• If a pattern of suspicious transactions emerges,
• Then trace them back to the decision-makers,
• When inconsistencies appear, cross-check supporting documentation,
• How does this align with past fraudulent cases?
By embedding these logic-based safeguards, AI could have eliminated loopholes before they were exploited. But even with strict rules, human manipulation can still find ways around them. From your experience with DOGE, would AI have been enough to stop fraud entirely, or would people always find creative ways to circumvent the system?
youtube
AI Governance
2025-10-03T10:2…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | consequentialist |
| Policy | regulate |
| Emotion | indifference |
| 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"}
]