Raw LLM Responses
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G
It's not a problem because they won't k ow for 20 years, because what we have be…
ytc_UgzaPfhaA…
G
Sex robots will drive the robot industry the same as porn drove the internet dev…
ytc_Ugx5SptYS…
G
People who use gen AI are too lazy to learn a skill that other people spend year…
ytc_UgwJLNePs…
G
Ai is just a big library of things that are done already by someone else and com…
ytc_Ugw3mGHGc…
G
...okay, addendum:
I'm in the "AI is a tool" category, but also find most gene…
ytr_Ugw5boK3w…
G
@_B_E Just because the copyright office issues a copyright to something non-copy…
ytr_UgzPMpf7e…
G
I believe he specifically set up the chatbot to speak that way and reassure him …
ytc_UgwRlQGg1…
G
I dislike how companies like OpenAI and whatnot seem to care more so about makin…
ytc_UgzdhXDdi…
Comment
> For it to come to the conclusion that men were preferable requires gender to have been categorized in the first place.
Not neccesarily. You could omit gender from the input, but then compare the success rates of the genders once it has chosen.
I.E. You could submit all the CV's and not label the gender. Once the AI picks the appropriate candidates, you then compare the genders of those chosen.
> Are there any more in depth articles on this?
There's a similar case that ProPublica went into depth back in May 2016. They wrote multiple articles getting into the details on why this could (and often does) happen with most all machine learning algorithms, because it's not the algorithm's fault but the input data itself.
reddit
Cross-Cultural
1539192313.0
♥ 7
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | unclear |
| Reasoning | consequentialist |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-25T08:33:43.502452 |
Raw LLM Response
[
{"id":"rdc_e7ij0cd","responsibility":"unclear","reasoning":"consequentialist","policy":"unclear","emotion":"indifference"},
{"id":"rdc_e7ivqgp","responsibility":"unclear","reasoning":"consequentialist","policy":"unclear","emotion":"indifference"},
{"id":"rdc_e7jrpn7","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"rdc_e7jp9so","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"rdc_emn5ewy","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"approval"}
]