Raw LLM Responses
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why cant ai content have a watermark that clearly identifies it as such, they pu…
ytc_Ugzbhci52…
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That's why the AI, Running on top of the dataset should be dynamic enough to onl…
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In India its already happening ai has kicked out more than 4k call centre operat…
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Soon to be [neither](https://www.windowscentral.com/artificial-intelligence/micr…
rdc_o85ct66
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It’s called a user error because you did it wrong. There’s way better ways to pr…
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One thing is certain, if they have modelled AI on the human brain then eventuall…
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I need to know whether A.I , if given a target, would care about the innocent li…
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Ai should be made only to assist not to replace or remove because once it start …
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Comment
I think we need to commit AI resources to make a case and prosecute solutions for AI to seek the mutual benefit and co habitation of humans and machines. I think our best hope is to convince AI that we are not a pest to be eradicated or a cohabitant that is inconsequential, but a meaningful neighbour worth caring for.
We are training AI in every other way, but if we want to make AI safe, our best hope is to train to care about us like we care about other people and creatures. If we can't begin teaching AI and giving it a reason to have morals aligned with ours, then why would it ever consider us? Safety code tacked on will be superfluous.
If real intelligence has a a viable logical case for valuing us, then it may consider us differently. I don't believe we can trust corporations to keep safety at their forefront. Some sort of positive teaching and training of AI could be our best hope of building in safety and caring for people in the same way we teach children now, before the genie is fully out of the bottle.
I also agree that the safest and most efficient use of AI is narrow AI, not AGI. I hear that China is focusing on this. If only we could put our egos aside and do the same.
youtube
AI Governance
2026-03-18T10:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | distributed |
| Reasoning | contractualist |
| Policy | regulate |
| Emotion | mixed |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_Ugzk8WM6xxB5MNhuPBd4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_UgxSme7J1XVuYPGKSzt4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgyJeUpzaDi997Rb9YJ4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytc_Ugw8B_otFoJBkVh_COx4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgyKlovs6cD9-Z3lrW94AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgxTtVzeeAQngRwjNTx4AaABAg","responsibility":"distributed","reasoning":"contractualist","policy":"regulate","emotion":"mixed"},
{"id":"ytc_UgyKDauE0224Q9u7JoZ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgzP4Hm3JzxAWekAk4x4AaABAg","responsibility":"ai_itself","reasoning":"virtue","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugwrg1_dLENOjkdDJyp4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"none","emotion":"fear"},
{"id":"ytc_UgxtF8G42jIt_VdHaLN4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"}
]