Raw LLM Responses
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G
If every industry were automated tomorrow, what would everyone do? Sometimes you…
ytc_UgyClCfxZ…
G
@sirreginaldfishingtonxvii6149 AI will take over 30% of jobs and while it looks …
ytr_UgwU8oO6i…
G
People are honestly too lazy in this generation. They use ai to draw cause it’s …
ytc_UgwJr5Cxp…
G
Nah dude, this is the reason why ChatGPT has gone to shit and why it hasnt been …
ytr_UgyHGHamQ…
G
Everyone has an agenda including this guy.
What is a fact is that LLMs are usef…
ytc_Ugx_9wy2T…
G
This will be the new model for future generations or parents will simple have th…
ytc_UgxbvX1TP…
G
Group together and build your own little community farming and raising animals f…
ytc_UgxYoOrqC…
G
It was so obvious that he doesn't have kids that I actually looked it up. He has…
ytr_Ugwyid1QZ…
Comment
Why are calibration and equal opportunity mathematically incompatible under differing base rates, and how does this limit fairness in predictive models?
How do feedback loops in machine learning models mathematically amplify bias over successive training iterations?
What are the limitations of current interpretability methods in addressing accountability within black-box deep learning systems?
youtube
AI Harm Incident
2025-11-02T16:0…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | unclear |
| Reasoning | consequentialist |
| Policy | unclear |
| Emotion | mixed |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_UgwcojX_Sc4g2VEk4e54AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgzIrR1WrFW1h2D_7OB4AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgyoTLeKXufy-bv1Z_p4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgyG3igmajQTb_QAvrN4AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgyozWMw4TQBYEso7BB4AaABAg","responsibility":"unclear","reasoning":"consequentialist","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgwORoXaYL_UYM0u7OZ4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugz8NYyrTVFtpovnIwp4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgxZZgtixznRr2ZhR6F4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgxO-EmiSRuc4c6zjS14AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgxPKtDXhqsarACNOF54AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"fear"}
]