The Decolonial Intelligence Algorithmic (DIA) Framework: Revolutionizing Ethical AI Development Through Epistemic Decolonization and Intersectional Justice

The Decolonial Intelligence Algorithmic (DIA) Framework: Revolutionizing Ethical AI Development Through Epistemic Decolonization and Intersectional Justice, presents a transformative approach to artificial intelligence (AI) development that emphasizes the inclusion of marginalized voices and knowledge systems. Rooted in decolonial theories, the DIA framework seeks to address biases inherent in current AI models, which often reinforce Eurocentric, capitalist, and patriarchal structures. These systems disproportionately harm BIPOC, LGBTQIA+, disabled communities, and other marginalized groups. The DIA Framework proposes an innovative, justice-centered model for AI development by integrating Indigenous, Afrocentric, and non-Western epistemologies, ensuring that AI technologies serve all communities fairly. With core principles such as epistemic decolonization, intersectionality, and reparative justice, the framework aims to replace biased AI systems with more equitable, culturally diverse models. It emphasizes data sovereignty, allowing marginalized communities to control their data and benefit from technological advancements. This framework has broad applications, from AI in hiring practices to environmental management and healthcare, ensuring that AI technologies rectify historical inequities and provide reparative justice. The article also discusses the challenges of corporate co-optation and scalability, advocating for accountability measures to ensure that the DIA framework remains true to its ethical foundations while transforming AI development globally.