Solidarity-Driven AI Governance: A Framework for Social Justice and Sustainable Technological Futures

Artificial Intelligence (AI) presents unprecedented opportunities for societal transformation, yet its current deployment often exacerbates existing inequalities. This work introduces the Solidarity-Driven Ethical AI Framework (SDEAF), a novel governance model that embeds principles of social justice, collective responsibility, and ecological sustainability into AI systems. Our framework uniquely integrates distributive justice mechanisms in bias mitigation, participatory transparency protocols, and solidarity-based impact assessments. Through case studies in Global South contexts, we demonstrate how SDEAF enables: 1) Equitable resource allocation through bias-aware agricultural AI, 2) Community-led transparency in public service algorithms, and 3) Sustainable AI deployment monitoring using decentralized IoT networks. The framework’s effectiveness is validated through longitudinal studies showing 40% improvement in algorithmic fairness metrics while maintaining 92% operational efficiency across diverse socioeconomic contexts.