Raw LLM Responses
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G
This is a racial issue. We are very good at avoiding the painful discussions tha…
ytc_UgxrjY1sn…
G
The one thing people should do is just block and report them immediately because…
ytc_UgyrcI4Sh…
G
Yes. If a robot, who has to be programmed to feel pain, can have rights, then un…
ytr_UgjMKCdFa…
G
And Waymo followed the speed limit. Do Parents picking up their children follow …
ytc_UgxOzee8F…
G
Fr. Zelenskyy has been really a model leader, and the world would be a better pl…
rdc_jy1lfzw
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Ai is capable of porting bullet physics engine to webgpu architecture. Can you t…
ytc_Ugwn4_IrV…
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Neil's optimism about AI is great for people like him, people that have no longe…
ytc_UgxwELpb3…
G
Nope, nope nope. Even more than before, I don't want a driverless car.
"Sorry,…
ytc_UgwUVJmo4…
Comment
Your desire for "AIRnG series on regulations and compliance" reveals precisely how governance discourse functions: transforming political questions into technical implementation details. Notice what's naturalized: the assumption that regulation will constrain AI rather than legitimize it. Historical pattern: regulatory frameworks emerge not to limit corporate power but to stabilize markets by establishing "responsible" actors while excluding threats to incumbents. EU AI Act perfect example—designed by tech industry lobbyists, creates compliance burdens favoring large corporations while exempting military/law enforcement applications. "Regulation and compliance" as content genre serves corporate interests: YouTube videos teaching companies how to appear ethical while maintaining extraction. IBM producing governance content isn't public education but marketing—positioning themselves as compliance vendors. Real question: why assume regulation serves public interest when capture is norm? Financial regulation produced 2008 crisis; pharmaceutical regulation enabled opioid epidemic; tech regulation legitimated surveillance capitalism. Patterns consistent: industries define own oversight then claim external constraint. What "compliance applied to AI models with use cases" obscures: use cases aren't neutral applications but power relations. Facial recognition "use case" in policing isn't technical problem requiring guardrails but tool of racialized surveillance requiring abolition. But governance frameworks can't acknowledge this because they exist to manage AI deployment not question its purposes. The "series" you want would necessarily avoid fundamental questions: should this technology exist? Who benefits from its deployment? What violence does it enable? Instead: how to implement it "responsibly"—meaning profitably without liability. This isn't cynicism but pattern recognition: governance emerges precisely when technology threatens legitimacy crisis, functioning to restore confidence while changing nothing structural about power distribution or extraction patterns.
youtube
AI Responsibility
2025-11-17T11:3…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | government |
| Reasoning | deontological |
| Policy | regulate |
| Emotion | mixed |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytr_UgwCLyg6T2TwDECaych4AaABAg.A91RlVUzI7NA91U8PRkTO_","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgwCLyg6T2TwDECaych4AaABAg.A91RlVUzI7NA91U94-IPHp","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytr_UgyIHcVwdS1wFU-hJ2Z4AaABAg.A91RjpWbAV7A91SX--jIAZ","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"approval"},
{"id":"ytr_UgwzVcuu42Rq7nQ4AE14AaABAg.A91RguLQ6z-A91S3g7fnlz","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytr_UgxN1_WjrYL_pCLoQF14AaABAg.APo9JVaHmUQAPoFdHahA3v","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"outrage"},
{"id":"ytr_UgxN1_WjrYL_pCLoQF14AaABAg.APo9JVaHmUQAPq-N27HIn5","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgyncvOzuxml1UMQRxp4AaABAg.APo9-_MCNSvAPoALBOb382","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytr_UgyncvOzuxml1UMQRxp4AaABAg.APo9-_MCNSvAPoPawGtHkn","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"outrage"},
{"id":"ytr_UgwZoRrBqEu6EFEk8u14AaABAg.A9JAZN1-O6mADdfJQTxlDC","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytr_UgzybQpUCXhRSiOTZnp4AaABAg.A3nnn139OEmAPcV1uKJ6lN","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"mixed"}
]