Responsible AI refers to practices and principles aimed at ensuring that AI systems operate in fair, transparent, accountable, and safe ways. This involves managing unintended biases, protecting user privacy, and ensuring ethical deployment. For instance, in healthcare, Responsible AI would ensure that treatment AI recommendations are unbiased and trained on diverse datasets. It relates to terms like fairness in AI, ethical AI, and AI bias reduction.