Raw LLM Responses
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G
Thank you for your comment! While the dialogue in the video is scripted to showc…
ytr_UgxVhLLRJ…
G
2 is so blatently... not ai i mean everone does this type of stuff in public…
ytc_Ugy4lyKTg…
G
Ai meta is on messenger now.. soon , our brains is gonna belong to them…
ytc_UgyO3tUSX…
G
@thewannabecritic7490@thewannabecritic7490 is not bursting; there are too many …
ytr_UgwjbD9zV…
G
@whodis4097 They're training ai to become as good as drawing as your hand which …
ytr_UgwHDt--2…
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That's cuz they're not using logical intelligence they are experimenting with em…
ytc_UgxBmOHYr…
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Should start with the interview why not put to robots and asking questions to on…
ytc_UgxLcFCj2…
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They clearly have zero understanding about how ChatGPT works. I was also fascina…
ytc_Ugw63ZAjc…
Comment
No, but algorithms can be. These image recognition algorithms, like the convolutional neural network or Mask R-CNN, rely on training data to understand how to detect say faces and different features. If we have a dataset that isn't trained on features of other races, like Joy said, the algorithm will not properly detect the face. This is known as overfitting your model. These algorithms can be corrected with proper datasets and will more accurately detect faces of different races. This is what she's saying. Not that physics or mathematics is biased, but rather these systems we code can unintentionally reflect bias we program into it if we fail to consider all possible use cases. This has always been true in computer science. Like making a program that can multiply numbers but that fails to recognize negative numbers. Math isn't biased against negative numbers but your program might be. To fix the "coded gaze" as she says is to be vigilant and ensure we write code that is going to work efficiently and accurately in all possible use cases.
youtube
2019-12-09T18:3…
♥ 3
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | deontological |
| Policy | regulate |
| Emotion | approval |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytr_UgyCC014PwKw1gNsT0p4AaABAg.90hfpqiVk349WJA4vy5TIB","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"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"}
]