Raw LLM Responses
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G
Not just AI either. The way GLP-1s are talked about on here makes me feel like I…
rdc_obvlqck
G
bruh and my teacher says dont use chat gpt but he uses ai photos and text…
ytc_Ugxsqq1vU…
G
The great question really would be - “ aligned to whose set of values “ ? Misali…
ytc_UgyYbhXni…
G
Yeah, okay “quran proven right again” because chatgpt says he was “more likely t…
ytc_Ugw04kw0r…
G
This comes at a mere $50k a year. I spend $6k for a classical education.…
ytc_UgyqhdcuQ…
G
As a fan of Sci-Fi since childhood, A.I., or artificial intelligence, for me rep…
ytc_UgzmZC1L9…
G
It is called a Zoo. Where you're forced to live in luxury accommodations with o…
ytc_UgwElkC7_…
G
Spoiler alert!
Neil really came through for the us there, and by us I mean huma…
ytc_UgyO0pQUe…
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"}
]