The growing prominence of Responsible and Trustworthy AI (RTAI) frameworks reflects increasing recognition of these harms. Contemporary RTAI approaches recommend safeguards across the lifecycle of AI systems to ensure explainability, transparency, contestability, auditability, and human oversight, while reducing the potential for bias and discrimination.
