The rapid proliferation of Artificial Intelligence (AI) across virtually every sector of human endeavor necessitates a profound shift in how we evaluate these powerful systems. While traditional AI development has historically prioritized performance metrics like accuracy, precision, and recall, the increasing autonomy and societal impact of AI applications demand a more comprehensive and ethically grounded assessment. From credit scoring and hiring algorithms to medical diagnostics and criminal justice systems, AI’
