Governing AI Bias: Semi-AI, Hexa-Algorithm, and AI Design Council

Human cognitive limitations render algorithmic bias inevitable and persistent across AI design, training, and deployment, shifting the focus from futile eradication to principled governance. This paper proposes Semi-AI—a legislated hybrid framework that integrates technology, ethics, law, society, economics, and ecology—operationalized through a multidisciplinary AI Design Council and Hexa-Algorithm (Ethical Matrix + Hexa-Dimension Metric). The framework systematically balances six dimensions: technical efficacy, financial viability, legal validity, ethical soundness, social acceptability, and ecological sustainability. Post-human disruptions that attribute to technological convergence in AI, biotech, and robotics, where algorithmic bias exacerbate inequities in hybrid entities and scarce resources.