Raw LLM Responses
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G
Untrue. AI looks at images of hundreds of thousands of different things, then th…
ytr_UgzA7j-WV…
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I use ChatGPT to write essay outlines. I’m autistic and struggle to put my thoug…
ytc_UgwYcDneI…
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We’re being rescued from AI and green energy tyranny by a shortage of silver and…
ytc_UgwOeGG_Y…
G
When I was a child, my mother gave me some soup and I told her I liked it, but t…
ytc_UgwaZTT2w…
G
But soon enough they will tell you AI is only taking jobs Americans won't do. Th…
ytc_UgzTCJeMu…
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They're building apocalypse bunkers due to what they've done to social media, th…
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This robot has been possessed by a spiritual demonic entity! How can electronic …
ytc_Ugxpj523r…
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Anybody else see the video with ai nicki minaj and mark zuckerberg? Right aroun…
ytc_Ugy52IJYU…
Comment
Mistaking ChatGPT for a search engine is fair - if you ask it for a case, it will give you something that resembles a real case. It feels like you are searching in a database, unless you know better. It's a new technology, and people are not yet used to computers being able to generate text that looks legitimate but is completely made up.
After all, Google is not much different. You search for a case, and you expect the Google result to be that case. You don't go and verify whether the case exists in the printed book as well, you trust Google that the text is not made up. The difference is that you can't trust ChatGPT, but it's very possible to not understand that difference in 2024.
Generating false cases after being asked to provide them, on the other hand, there's no way to interpret that as a fair mistake. At that point you should suspect the cases don't exist, you can't find them, and then you ask a LLM to cover it up generating fake cases, which you then submit. That's the real problem, they should have come clean at that point and I bet the judge would be more understanding.
youtube
AI Responsibility
2024-10-25T14:3…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | unclear |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | unclear |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[{"id":"ytc_UgywobXaVLQz0ORDzAZ4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgwLPJNMia34y80Fx3F4AaABAg","responsibility":"user","reasoning":"unclear","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgybH_PSyZjlHA5U46V4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwxUG7dv4w2bzYcKHl4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgyRbEaz9-JUs9fUTRd4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxI4hpFNY0ugOsmnCp4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugy2gQQMPl-t6FQxth94AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzrW04_3Z7euxmz6rZ4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_Ugzkvu62FmnYR6zYAnx4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyQYvcTZSrxFmJninB4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"approval"})