Raw LLM Responses
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G
Hmmm....a ceo of ai saying IF we dont put more money in ai, danger ahead. Maybe …
ytc_UgwURsnDI…
G
@-ChristophAnd the main reason for the loss of artists nowadays? AI.
As …
ytr_UgyoA3E0G…
G
This matches what I see on my team too. The gap isn't "can you use AI" - basical…
rdc_oael5l2
G
Your phone has a front and back ultra wide camera and you’re using it all the ti…
ytr_Ugybw9qmh…
G
0:51 "I sucked at it."
So did I. But I got better. How? You guessed it! By prac…
ytc_UgwXnUy9B…
G
“A just machine to make big decisions, programmed by fellows with compassion and…
ytc_UgyeAlHPY…
G
I usually say please to my agent exactly because I think it should have absorbed…
ytc_UgyR_nNfm…
G
There are robots do humans have that blue thing on the ear so that’s of course a…
ytc_Ugwgy_kQ0…
Comment
Bias in the Machine: The Inheritance of Inequality
At first glance, AI systems may appear neutral, even objective. After all, they rely on data and logic—surely a computer can’t be racist, sexist, or discriminatory. But in reality, AI systems often reflect the biases of their human creators and the data they’re trained on. The myth of AI impartiality is one of the most dangerous misconceptions of the digital age.
AI systems learn from data—massive datasets gathered from the real world. But the real world is messy and unjust. Historical data often includes the imprints of social inequity: discriminatory hiring practices, policing patterns influenced by racial profiling, gender disparities in income and healthcare. When AI learns from this data, it doesn’t just learn facts—it learns patterns, and those patterns can encode systemic bias.
youtube
AI Governance
2025-10-03T10:0…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | deontological |
| Policy | liability |
| Emotion | outrage |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_Ugyov9ToiRlge25Zd7N4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgwU8sFWJQe3FuRsADF4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgyTRIgEFbBckisPcxx4AaABAg","responsibility":"distributed","reasoning":"contractualist","policy":"regulate","emotion":"approval"},
{"id":"ytc_UgwjvlaqHqjBhj470pJ4AaABAg","responsibility":"user","reasoning":"virtue","policy":"industry_self","emotion":"mixed"},
{"id":"ytc_UgzQ8TiI6_2BNii7tBJ4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"none","emotion":"fear"},
{"id":"ytc_UgyqQr9BKByFFrhGzI54AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgzXZhLI0v_1pg3NG754AaABAg","responsibility":"company","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgwIjUqtuIlebIlM8GN4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"liability","emotion":"fear"},
{"id":"ytc_UgzqWn1mGZVjrG6lYi54AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugxjn6_n_AWffOR8Tq14AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"unclear","emotion":"mixed"}
]