Equity Bias: An Ethical Framework for AI Design

ArXi:2604.21907v1 Announce Type: cross Equity Bias is a philosophical and practical framework for building smarter, equitable AI systems. Grounded in hermeneutic philosophy and epistemic injustice theory, it treats bias not as an error to eliminate but as a reflection of whose knowledge is encoded into systems. While traditional approaches aim to reduce or remove bias, Equity Bias instead makes bias transparent and contestable. In doing so, it broadens whose perspectives shape AI and provides a lens for understanding AI systems as interpretive agents. The framework.