What is it called when AI algorithms show prejudice due to biased data they were trained on?AI FallacyAI ErrorAI BiasAI MisjudgmentI don't knowSubmit

The phenomenon you're referring to is known as AI Bias. This occurs when AI algorithms produce results that are systematically prejudiced due to the data used in their training. When the data contains historical biases, stereotypes, or unequal representation of various groups, the AI system may learn and perpetuate these biases in its decisions or outputs. This can lead to discriminatory practices in various applications, such as hiring, policing, lending, and more.

For example, if an AI system is trained on data that predominantly represents one demographic, it may perform poorly for underrepresented groups, leading to unfair and biased outcomes. Addressing AI bias is crucial to ensuring fairness, accountability, and transparency in AI systems. Therefore, among the options provided, "AI Bias" is the correct terminology for this issue.