Raw LLM Responses
Inspect the exact model output for any coded comment.
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Random samples — click to inspect
G
Oh, I didn't know this was a thing. This is awesome! I think AI could have some …
ytc_Ugy-L9P4B…
G
As I already previously stated on one of your other videos this is why AI is not…
ytc_Ugx8L6zeq…
G
Chatgpt always lies about islam. It even admitted to me when it comes to especia…
ytc_UgyfiIvIJ…
G
He is a communist, and AI isn't going take away every job - but your jobs? For s…
ytc_UgynTi-uv…
G
I do believe ai will become sentient one day maybe not in 40 or 50 years or even…
ytr_Ugwd6gYp8…
G
P.s. you have to much faith in automation. Robots require programmers, electrici…
ytr_Ughe_3dYQ…
G
AI at this point only makes very yassified pictures. Which on that front, not ev…
ytc_UgwuvSCXI…
G
Duhhhhh some ppl aren’t intelligent at all so it takes a AI 🤖 for you guys to ge…
ytc_Ugwr54BgT…
Comment
🎯 Key Takeaways for quick navigation:
AI technology, while beneficial, is raising concerns about racial biases within its systems.
Lack of representation for minorities and people of color in AI exacerbates racial divides.
AI algorithms are based on historical data, which can perpetuate biases from the past.
Efforts to address biases in AI are being made by some companies, but progress is slow.
Facial recognition systems and other AI technologies still exhibit racial biases, indicating the need for more significant change.
AI reflects humanity's history and present biases, highlighting the importance of examining and correcting datasets to promote diversity.
Interrogating AI systems and datasets can help mitigate biases and promote fairness in technology.
Companies have the opportunity to confront biases highlighted by AI and make changes to promote diversity and fairness.
Made with HARPA AI
youtube
2024-03-07T15:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | company |
| Reasoning | consequentialist |
| Policy | liability |
| Emotion | mixed |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_Ugw2m61cKvvkoW_NEad4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgwGanjoGchYd5dmmGp4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugxi-m7ISbpEIOPMJvV4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"mixed"},
{"id":"ytc_UgxwenKOoqGuKX6apwt4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_UgyCWj3GpIYKhNMX4PN4AaABAg","responsibility":"company","reasoning":"deontological","policy":"industry_self","emotion":"outrage"},
{"id":"ytc_UgwbnwqkL5yj7XlFTYB4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugz_tGPE8HdyyCcjm0Z4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugwcg0c8KrJ9LZQxR6x4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugy_9yXjDLSu-E3FMcx4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"approval"},
{"id":"ytc_Ugy5DUXdwsa7BxmY0wJ4AaABAg","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"outrage"}
]