Raw LLM Responses
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G
Can't tell you how many times I was shot at by a robot with a Tommy gun. Guess …
ytc_UgzevUt8T…
G
I watched one in my neighborhood take about one minute to make a right turn in N…
ytc_Ugx1BacLq…
G
AI: reflects and exacerbates pre existing trends created by society
Researchers…
ytc_UgxBdSw0Y…
G
Most of Africa was still colonized in the 1950s so your 1800s comment is silly. …
rdc_ibdc90q
G
So I am a bit torn. Art to me is anything that invokes a strong emotional respon…
ytc_Ugwd6mTok…
G
Nobody likes algorithms. What the heck? They wreck a town for malicious ads and…
ytc_Ugz0S0cKk…
G
What a debate that will be it’s scary it’s extremely scary , there would have …
ytc_UgyE5fv-w…
G
Yo I asked Chatgpt based on its data which religion is the truth and guess what …
ytc_Ugyn_L_2p…
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"}
]