Raw LLM Responses
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G
Every decade they say AI will replace developers and every decade developers jus…
ytc_UgxNnFEhh…
G
The all over is good using AI and saving water but taking help from robots for f…
ytc_Ugx4lfgd9…
G
Dear Sabine, has it crossed your mind that we humans have convinced ourselves th…
ytc_UgwlzlqbX…
G
robot: whoops
robot 2: WHY DDI YOU DO THAT GRRR
*smashes its head on the glass*
…
ytc_UgxcJZZ65…
G
why would Google give aa shit about the rights of ai? they barely care about hum…
ytc_UgzIaYTFk…
G
We need to make it a law where using AI to make money is ILLEGAL…
ytc_Ugz-YgmEU…
G
AI art feels a whole lot like Jurassic Park; a blatant misuse of a powerful tech…
ytc_UgwUrE1UL…
G
Autopilot is a foolish choice. Never let AI control your destiny. If you're ou…
ytc_UgwrclsRI…
Comment
I work in the FR industry... AT BEST, FR is about 90% accurate... In order to get that level of accuracy, cameras must be positioned at a correct angle (between 30 and 45 degrees) at a height of 10-12 feet. Surprisingly, image clarity is not as significant as you might think...
That said, most of our customers average about a 75% accuracy.
Currently, FR is based of an algorithm that assigns a number based value to a individual face and then compares that number against other numbers to find "similar" results...
It cannot identify a unique mole, scar or anything of that nature, although it will take it into consideration in regards to the assigned number value.
Point is, using FR for law enforcement without a human to validate the results is ludicrous... But the fact remains that facial recognition will NEVER be 100% accurate and there will always be mistakes. It's up to us as a society to rectify those.
In this case, yes, he was wrongly arrested... But then human intervention determined the FR was wrong and the mistake was corrected.
It's a tool that can be used for good or evil... Just like anything else.
reddit
AI Harm Incident
1593030994.0
♥ 86
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | company |
| Reasoning | unclear |
| Policy | industry_self |
| Emotion | indifference |
| Coded at | 2026-04-25T08:33:43.502452 |
Raw LLM Response
[
{"id":"rdc_gt6xfv2","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"approval"},
{"id":"rdc_gt7jkhs","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"outrage"},
{"id":"rdc_gt5hn7i","responsibility":"user","reasoning":"consequentialist","policy":"liability","emotion":"outrage"},
{"id":"rdc_fvw0s3l","responsibility":"company","reasoning":"consequentialist","policy":"industry_self","emotion":"indifference"},
{"id":"rdc_fvwmw8o","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"fear"}
]