Raw LLM Responses
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G
Ai is going to make a lot of people stupid, enough to not be able to have critic…
ytc_Ugw4hNoHg…
G
if all cars are self driving they should all be on the same network so the could…
ytc_Uggr1StrE…
G
I also hate seeing the “Must be born with it” argument from these Ai thumpers.
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ytc_UgzKjsRoh…
G
anyone knows by this point that the risks of AI outweighs the benefits of AI. in…
ytc_UgwVHV7W-…
G
AI senators will be more efficient to provide jobs for people and not take the j…
ytc_UgwOsi02t…
G
ive cried about this so much just because of the disrespect and invalidation mos…
ytc_UgzcbsC-G…
G
I’m sorry but this doesn’t make sense to me! With Neuroweaponry, the System can …
ytc_UgzqYe3st…
G
For one thing, technical support doesn't have to worry. An AI like Gemini is NOT…
ytc_UgxwWC3jM…
Comment
Facial-recognition is supposed to be a tool to be used as a _first-pass_ to simplify the notification of issues for law-enforcement, it's not meant to be used as the be-all, end-all, otherwise we wouldn't have cops, we'd have computers and robots doing law-enforcement. Once cops get a notice about something, they're supposed to manually check it. As the video said, it must NOT be used as blind evidence, it can only be used to _facilitate_ ACTUAL POLICE WORK AND INVESTIGATION. ¬_¬ That said, automation tools aren't always good; ALPRs is a system whereby various cameras throughout the city (on cop cars, on red-lights, on buildings, etc.) automatically and indiscriminately scan _every_ license plate they see and automatically check for any "problems" to report to the nearest cop to run them down. The problem with this is that due to how the system and criminals work, it will almost always end up screwing over people with minor infractions like unpaid parking tickets rather than actual criminals like traffickers. 😒
youtube
AI Harm Incident
2021-04-29T15:0…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | user |
| Reasoning | deontological |
| Policy | industry_self |
| Emotion | approval |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgyoQg5TcionW1_G8uh4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_UgyQebD9NzVU-T7zHft4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgyrcurS1z6eNhKl9zt4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugz_8uUXE0ns5uDNAnR4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_UgxZ2gIpq5WgwXm8Ijp4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_UgzgJMcZtI0PN5TLS2t4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxA6HokWzLEneS59LZ4AaABAg","responsibility":"user","reasoning":"deontological","policy":"industry_self","emotion":"approval"},
{"id":"ytc_Ugw9DmWwWGW9viyucTx4AaABAg","responsibility":"developer","reasoning":"virtue","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgxpgtObXUEG1BdW1Z94AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgyGlYgqv5zuPdClZGZ4AaABAg","responsibility":"government","reasoning":"deontological","policy":"liability","emotion":"outrage"}
]