Bias in AI Models: What Engineers Must Fix Before It’s Too Late

Understanding AI Bias: Definition and Implications AI bias refers to the systematic favoritism or prejudice embedded within artificial intelligence algorithms and systems, often as a result of flawed data or design choices. This bias can originate from several sources, including the datasets used to train the AI, the algorithms themselves, and the prevailing social norms […]

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