All ML-based AI is biased. It has to be. Otherwise the data presented to the learning algorithm would be random noise and nothing could be learned. Bias in l

All ML-based AI is biased. It has to be. Otherwise the data presented to the learning algorithm would be random noise and nothing could be learned. Bias in learning data is essential to detecting patterns, by AI or by humans. ML's dependency on being fed biases (AKA as stereotyping) is an Achilles heel that affects every kind of learning, but it creates real problems when learning sophisticated patterns (like those learned by LLMs) where such biases can cause misbehavior and misunderstanding. Unsurprisingly, fans of ML simply have avoided publicly addressing this limitation because it's essentially unsolvable by automation. The only solution is to manually acknowledge every exception to the rule -- the way children have to to learn every irregular verb. But until we do this, AI will remained fundamentally driven by its inbred biases and stereotypes.