Raw LLM Responses
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G
As a Christian, ik this is a stretch but I swear AI "art" is demonic 💀 especiall…
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@schumerthd the AI is being loaded with this programming to be bias towards blac…
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If/when the time comes that AI will replace most jobs, most ordinary people will…
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G
11:25 The first 2 digits in an airport runway are the first two digits of the co…
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SUPER UNPOPULAR OPINION INCOMING: I really don’t care about deepfake porn, I thi…
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So ChatGPT could make up case law for Law & Order and that's about it, huh…
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> Critically, medical records are electronic now. It seems extremely likely t…
rdc_jkqi60o
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You just Quote the Gartner hype cycle and assume this is the same with some anec…
ytc_Ugzpg6lZD…
Comment
@zx6r79 Would you like to run an experiment? Go into any generative AI tool and ask for the top 50 philosophers of the last 100 years. Then ask it to put it in a matrix of how many of those are white, middle/upper class, male & western. See the results. I bet you the majority are in that category because generative ai reflects historical data and marginalisation is reflected in that data. It's just a small snapshot on how biases in data reflect in AI. You can see this kind of thing pop up in recruitment algorithms and all sorts of places. It really doesn't need to be as triggering as you have seem to have found it. You could try reading a few books like Nexus by Yuval Noah Harari or the Gender Data Gap by Invisible Women by Caroline Criado Perez if you'd like some further literature.
youtube
AI Bias
2026-04-10T14:5…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | ai_itself |
| Reasoning | contractualist |
| Policy | regulate |
| Emotion | mixed |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytr_UgyDT9BqU-DX-Skcku14AaABAg.ARuftn0NWvVARuh3D6s_fE","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"fear"},
{"id":"ytr_Ugz0ZQTRQLMtA8i8Mhx4AaABAg.9VLMp2uaJgR9WAhKDztePf","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_UgxmOTffpTVgW_kqPXB4AaABAg.9PqIEqaDmXR9PrsnICqFtd","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytr_UgwNIu7kuwGtsLIyYlB4AaABAg.9Pk3x2W1wdn9Pn4xJ6pUsv","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytr_UgxPkWPhB_2IVcDceEt4AaABAg.9PeiRqnNFl59Q54JoUzZkY","responsibility":"user","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytr_Ugxu02PdEDAl9zTzyBh4AaABAg.9PehvuqpydP9PhRl1pl3Ny","responsibility":"none","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"},
{"id":"ytr_Ugx6YrJrZG-Yk6gL4o14AaABAg.9PeYnkY4tY29Peh2EMyDw5","responsibility":"developer","reasoning":"consequentialist","policy":"liability","emotion":"mixed"},
{"id":"ytr_Ugz8dQ4_Q25fsBhz6x54AaABAg.AUqiKHT_Ad6AUrlBxaEAud","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_Ugz8dQ4_Q25fsBhz6x54AaABAg.AUqiKHT_Ad6AVQXCMGZ4nG","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"outrage"},
{"id":"ytr_Ugz8dQ4_Q25fsBhz6x54AaABAg.AUqiKHT_Ad6AVQdDR17g2T","responsibility":"ai_itself","reasoning":"contractualist","policy":"regulate","emotion":"mixed"}
]