Raw LLM Responses
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G
Folks you better Believe Malevolent T1000 like models are already in the works…
ytc_Ugzi70UQK…
G
It's funny watching people who don't understand computing attribute magic to it.…
ytc_UgxwdBLE_…
G
I look at AI art in a way because humans never would bother to draw an image of …
ytc_UgxQrY0lg…
G
Not yet...AI is just baby right now as it grows it will be able to do everything…
ytc_Ugx9trWj1…
G
I accuse ChatGPT of being demonic all the time. I use it for prompt writing to c…
ytc_UgydnvNH8…
G
I don't know that I feel that AI is the end of the world for art or for anything…
ytc_UgwNLDPgH…
G
Heard so many stories about people using AI cover letters and CVs just to have t…
rdc_n6sfte1
G
Are they using AI for mastery learning or just faster pacing? Those are totally …
ytc_UgwuTJzIe…
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"}
]