Decolonial Intelligence Algorithmic (DIA) Framework
The Decolonial Intelligence Algorithmic (DIA) Framework introduces a revolutionary model for AI development grounded in decolonial theory and intersectional justice. The DIA Framework is a blueprint for ethical AI governance that aligns with national interests in data sovereignty. It addresses biases rooted in colonial, capitalist, and patriarchal ideologies embedded in current AI systems. The framework seeks to dismantle these biases by incorporating Indigenous, Afrocentric, and non-Western knowledge systems into AI design, ensuring inclusivity and ethical governance. Practical applications of the DIA Framework span employment, healthcare, and environmental justice, demonstrating its scalability and potential to disrupt racial capitalism in AI. This paper presents a comprehensive model for building fair and equitable AI systems that benefit historically marginalized communities, offering a blueprint for responsible AI development.
Institutions
- Atlas Scientific (United States) (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-10-02
- DOI
- https://doi.org/10.5281/zenodo.13882323
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00