Raw LLM Responses
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G
@MoonMoon-f3d we don't care at all. My wife is an arstist and she has had AI art…
ytr_UgwclSeMF…
G
@Ccodebits No, you're placing human qualities on a nonthinking algorithm. It di…
ytr_UgwUreYKe…
G
I think its a little to early for regulation. Until we are able to promote enoug…
rdc_ljqpp2i
G
If individuals programmers become massively more efficient, there will necessari…
ytc_UgwXfYnUQ…
G
Okay, let me try this—though I doubt it'll change your mind. Changing someone's …
ytc_UgyRTEvWh…
G
PICU RN here, I use AI every day to ensure we are not missing anything we can di…
ytc_UgzzMmkHp…
G
America will generate revenue from AI.
AI will reduce human labors.
America ca…
ytc_UgzkuJwhw…
G
Okay, hot take time. AI is a tool. So like any tool, using it to speed up or eas…
ytc_Ugzu2KmQN…
Comment
Yes, since it is programmed to do so but how well depends entirely on what skillset the company is really in need of. It will be more sensible to understand and agreeable that the interviews are done by HR personnel to validate their communicative skills and talents contribution as they will be working with people and not A.I afterall.
The implicit bias here is the gathering of comments from people exposed to acknowledge that companies should be diverse as an ethical necessity. The explicit bias here is people assuming, A.I cannot do this hiring task without human input, and also knowing broader ethnic group will be subject to dismissal by default.
Overreacting to the implementation of A.I to recruit for diversity remains at the discretion of companies who want to believe such an integration of technology will aid them ethically. It does portrait a fair and just selection process that removes the explicit biases from both company personnel and recruiters. The end phrase is "no one owes someone any favors."
youtube
2018-04-24T18:5…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | company |
| Reasoning | consequentialist |
| Policy | industry_self |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_UgxoMfnVH8J5YG2R93x4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxbyvIOsJuSjR3n_qp4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_UgyvP7FKCvljGBVDb9t4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgychdteduZgTWujJN94AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgytzR9pJMI0F-VDwwF4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgxS6kAuYbdHrvLNsjB4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgwMSYnFvuM9PHPoX6d4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_Ugw2_Le55of8szem3Yl4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"industry_self","emotion":"indifference"},
{"id":"ytc_UgwPxL5OG7I7sdioh0R4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugz_atSeIOkvUoHYBWx4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"none","emotion":"mixed"}
]