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G Honestly, it’s getting harder and harder every day to tell AI from real life and… ytc_UgyatFK4b… G Makes me think that LLMs might be taking from fiction to generate cures or medic… ytc_UgzOH7JkY… G That is because AI currently doesn't hold any leverage over us. Once it is takin… ytr_UgxO0ZmWK… G I always say thank u and please to ai bots for no reason at all… ytc_UgyCpWeuW… G Showing ur “bad art” made me feel worse, I can’t even draw that if I was held at… ytc_Ugz0ZloDR… G If it's a Robotaxi it's automatic. If it's a Tesla w/ FSD, you can choose to dr… ytr_UgzTeWZQT… G No way that the capitalist overlords would let workers stop working, even if the… ytc_UgxBQ7dYs… G So help me understand why Isaac Asimov's three laws of robotics can't be applied… ytc_UgxwdASWn…
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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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