AI Bias Testing
AI Bias Testing involves evaluating and analyzing artificial intelligence systems to identify and mitigate any biases that may be present in their algorithms. This process typically includes testing the AI system with diverse datasets to ensure fair and unbiased outcomes, as well as developing methods to address and minimize any potential biases that are uncovered. The goal of AI Bias Testing is to promote fairness, transparency, and accountability in artificial intelligence technology.