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G Ai uses images directly, fuses them together exactly as they are. We don't. I ca… ytr_UgzAABu_n… G Yeah, and there’s nothing wrong with that. Not everyone is good at drawing. I’… ytr_UgyST2brn… G I have tried AI, I would use it to assist me, but I wouldn't let it do any job a… ytc_Ugz3ZciXH… G It should be illegal for nutritional brands to use AI to promote their goods. Sa… ytc_UgxckhZXH… G I deal a lil bit with data science and machine learning and i have basic underst… ytc_UgxS3L43G… G You gotta watch out for Gender Equality and Equal Opportunity Employement and RO… ytc_UgyrApiGy… G Does the company not get a ticket...if they did the construction wrong? how come… ytc_UgzS1D9Jg… G Okay sex toys, time to step your game up. We need full fellatio action for thes… ytc_UgyUg9xe5…
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
DimensionValue
Responsibilitydeveloper
Reasoningdeontological
Policyregulate
Emotionapproval
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
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