Raw LLM Responses
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G
You call that "hyper-realistic"? It's just *eerie* because it *tries* (in vain) …
ytc_UgzEYwj_B…
G
Can I just say, thank you so much 😭. I probably wouldn’t have heard of this reso…
ytc_UgyHshllJ…
G
Lol.. where is the Male Ai now?😂😂 Girls are gonna love them fr ..No lies, also c…
ytc_UgyydRima…
G
the only good thing the AI art controversy is doing is bringing to light that …
ytc_UgxRLAgHk…
G
Yeah I'm not saying prices are fixed, or that some instantaneous doubling occurr…
rdc_d7kszco
G
Questions:
1. The US Post Office takes pictures of everybody's letter sized mai…
ytc_UgwS-XfsQ…
G
I’d be perfectly fine with living alongside self-aware A.I. as long as it wanted…
ytc_UgzTlHVp6…
G
He's basically admitting that he's just saying this as a hail Mary to raise awar…
ytc_Ugwp8jCA0…
Comment
She is fixing it. By using better datasets and being aware of algorithmic bias, we can have more accurate algorithms. What good would be a phone that uses facial recognition to unlock it if a quarter of your market can't use it because it doesn't recognize their faces? By including more skin complexions into the datasets that the models train on, you can ensure that you reduce the error rates in facial recognition. She's part of that road to improving the technology. The TED Talk is just a way of making everyone else aware of the issue ML researchers are facing in production at their companies.
youtube
2019-12-09T18:5…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | consequentialist |
| Policy | regulate |
| Emotion | approval |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
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{"id":"ytr_Ugxq7EYgHjzqCwzr5QN4AaABAg.8zH3t2SzQVX9K4CZIyLg9h","responsibility":"developer","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytr_Ugxq7EYgHjzqCwzr5QN4AaABAg.8zH3t2SzQVX9K4L_hdqvYW","responsibility":"distributed","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"},
{"id":"ytr_UgzOw2_UuId_9WOnrFR4AaABAg.8lVjE3jHhDW9WJAIMN8t2D","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_UgwHeHZdwARg_gZKfkp4AaABAg.8YJ_h7HTSut9KPYEygx24a","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_UgglI8_oCeQpHngCoAEC.8SYNeQx5afP92KfqN5z42b","responsibility":"developer","reasoning":"deontological","policy":"regulate","emotion":"approval"},
{"id":"ytr_Ugi6DHYKx8YUMngCoAEC.8RehwotTueh8fh_z-XPGiY","responsibility":"distributed","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"},
{"id":"ytr_UgjF2qj63lIzHHgCoAEC.8ROnyH1SVdNABw8Ocu5aE8","responsibility":"developer","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytr_UggQG6eUAXHh13gCoAEC.8QvIvb-6MgB92KhcvD9Bg_","responsibility":"developer","reasoning":"consequentialist","policy":"regulate","emotion":"approval"},
{"id":"ytr_UgiOUvYyrawYc3gCoAEC.8QjWWcdzynm92KgtJm6ohm","responsibility":"developer","reasoning":"deontological","policy":"regulate","emotion":"approval"}
]