Raw LLM Responses
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G
There’s noone there when I ask an AI. So I say ”thank you” more to myself by usi…
ytc_UgwdGJrfo…
G
you use AI u got no tallent and u are lazy learn art its not that complicated…
ytc_UgxuFgGo8…
G
The problem with Geoffrey's belief about consciousness is that consciousness is …
ytc_Ugz9UQJ9B…
G
I think most of our fears over AI have already come true, they just haven’t made…
ytc_UgydIv8Mb…
G
as both a software engineer AND a person who draws at an amateur level (I don't …
ytc_UgzhIBT5Q…
G
it takes more time trying to make copilot do it right than fix it myself.…
ytc_UgwFN8Cxs…
G
I don't understand the hate for the current state of AI art. Right now it just s…
ytc_UgwChG9m3…
G
**ROBOTIC INVASION**
Am i the only one who can see the end of humankind?
That m…
ytc_Ugx6hv-bj…
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"}
]