Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
@squineod710 Ai has been proven and confirmed to be stealing artwork, photos, wr…
ytr_Ugy0BsJCf…
G
And just like NFT, I can guarantee that this won't be the last. I can't wait for…
ytc_UgyK7DY7e…
G
I don't understand why people think AI is so powerful right now... they are lang…
ytr_UgzSiAszP…
G
tough talk of saudi arabia to restrict ai tools to government use given mbs’s ai…
ytc_UgxlZ0Rfu…
G
You just said the good part, people don't understand how it works, not just ia g…
ytc_UgwktULU5…
G
Anyone who self-publishes via Amazon or iBooks could figure out how to use AI (e…
rdc_lz5uay9
G
Well done guys AI is learning what normal is and the 1st clip is the correct ans…
ytc_UgzKxDXL4…
G
You're vastly overestimating the complexity of AI. It is absolutely not intellig…
ytc_Ugz1WL2QA…
Comment
It's not more likely to TARGET people of color, it's more likely to not discern finer differences in facial features among non-whites. In other words, it's the AI equivalent, AND derivative, of "they all look alike to me". So to the AI, there is a smaller pool of faces to choose from, so it must choose someone who comes closest to fitting the profile. Let's assume this is taken from a driver's license, or other publicly available photo. One photo, unless there is some very unique feature, is NOT enough data for the AI to establish a positive match. Besides the fact that these are often awkward and poorly lit rudimentary pix. Then you have all the problems built into the system by dominantly non-black programmers who did not really perceive the more subtle differences between variations among dark hair and eye coloring. I also have questions about how much emphasis is placed on hair styles etc.
youtube
AI Harm Incident
2023-08-07T16:3…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | ai_itself |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | mixed |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgwSJU8-FbvY3o7GM-N4AaABAg","responsibility":"user","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgzFm_W3AoS4VCtWlqV4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"indifference"},
{"id":"ytc_UgwccwSxwJ7NyJ4U7SB4AaABAg","responsibility":"government","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgyFEi4V38dyyJAnC3d4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzdkHi9JkHJpMmHYSd4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugx_x9y23BxoYbDHCiR4AaABAg","responsibility":"government","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgyvCFg8CfmmDu2H9AF4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgyapF2aBZ4shDdcyAN4AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_UgwMfX9rYDucf63hbGB4AaABAg","responsibility":"user","reasoning":"deontological","policy":"liability","emotion":"indifference"},
{"id":"ytc_Ugz-x95NdE3JzTPRuNZ4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"}
]