Machine learning bias, or AI bias, occurs when algorithms produce results that are systematically biased. Bias can be present in the code of an AI system or the data it trains on. Machine learning bias can impact decision-making.
AI bias occurs because of the biases that exist in the training data, which are inherently human. By being aware of these cognitive biases, humans can make better choices in their daily lives, and AI systems can also improve their decision-making capabilities.
Some of the biases that humans experience include:
