Raw LLM Responses
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I taught in a district that was trying to teach Math in a different way, back in…
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People seem to be paranoid that this is gonna be like how machines replaced fact…
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réfléchir et émotion déjà il y a un probleme, les émotions annule le rationel...…
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Some of my questions to ai result in threats from ai. As if it would report me t…
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but it's self driving? Shouldn't waymo or the company be blamed not dude inside …
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the AI "artists" must cope and seethe, + pick up a pencil and a piece of paper…
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We often think in terms of economy (aka. money, sallary, etc.)? Capitalism is ju…
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If you replace the CEO you would it with AI you wouldn't even have a company the…
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Comment
@redmint4894 I guess I used the word intuitive too often, will correct it in the text. I think it's more about patterns in the data, when there's f.e. more and stronger direct associations of teenage girls with Beyonce and make up in the data, the LLM gets stronger connection strengths there. On that basis it intuits from specific prompts that he must be a teenage girl. This can be corrected f.e. by telling the LLM that it got it wrong, and other methods to tackle bias. When in our culture cats get attributed properties that match more learned representations of what is female than what is male, we intuitively come to conclusions. It's not a logical process and such biases in people are very difficult to confront and change. Not impossible but more difficult than making corrections in deep learning machines.
I keep posting a link to a video of a recent public lecture where he talks about discrimination and bias (from 46.12 to 50 minutes in the video), but the youtube algorithm constantly seems to remove it https://youtu.be/rGgGOccMEiY?t=2772
youtube
AI Governance
2023-07-02T18:4…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | consequentialist |
| Policy | regulate |
| Emotion | approval |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytr_Ugx9cKosGmQfk4IwBHp4AaABAg.9tnUaNc7BNQ9tr9MHH5_zv","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"approval"},
{"id":"ytr_UgwgK26FkEvG2Yi4z6x4AaABAg.9tbxSjbHTrv9tcbHiXk0n4","responsibility":"ai_itself","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytr_UgwgK26FkEvG2Yi4z6x4AaABAg.9tbxSjbHTrvA4J_uwZpVua","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_UgwgK26FkEvG2Yi4z6x4AaABAg.9tbxSjbHTrvA6_diDg_6VF","responsibility":"user","reasoning":"deontological","policy":"industry_self","emotion":"approval"},
{"id":"ytr_UgwgK26FkEvG2Yi4z6x4AaABAg.9tbxSjbHTrvA7UoS_qdUEg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytr_UgwgK26FkEvG2Yi4z6x4AaABAg.9tbxSjbHTrvA7Ut55eGfeH","responsibility":"developer","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytr_Ugyf4MFBQogkCMSMKkJ4AaABAg.9sue6eMeOhT9t1MaN6U1-i","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytr_UgzCJ8fXQ8-Dz2NfNop4AaABAg.9rdPpOgAzW19rf4VgBMfm1","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"indifference"},
{"id":"ytr_UgzCJ8fXQ8-Dz2NfNop4AaABAg.9rdPpOgAzW19rf7Zcocttd","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytr_UgzCJ8fXQ8-Dz2NfNop4AaABAg.9rdPpOgAzW19rfeHPWpZfs","responsibility":"developer","reasoning":"consequentialist","policy":"regulate","emotion":"approval"}
]