Algorithmic Bias and the Limits of Machine Learning

AI systems are often called intelligent, but they don’t think like humans. They find patterns in data, and those patterns can be shallow, fragile, or just plain wrong. In this chapter, we’ll see how hidden biases, fragile classifications, and opaque decision-making can make AI systems unreliable—and sometimes ethically dangerous.