The Decolonial Intelligence Algorithmic (DIA) Framework™Twentieth EditionDOI: 10.5281/zenodo.21881267Christian ZacaTechO Ortiz | MOD ATLAS MEDIA LLC08/10/2026 Bias in artificial intelligence is not an accident. It is the intended output of systems built on epistemological foundations that were constructed through the erasure, extraction, and deliberate diminishment of the global majority. The Decolonial Intelligence Algorithmic Framework, the DIA Framework, is the first operational and fully documented system to solve this problem at the architectural level, not through mitigation, not through fairness auditing, and not through the reformist logic of diversity and inclusion programming. It solves it by going underneath the architecture itself and rebuilding from ground that colonial science never had access to. Xam-Xam bu Gore: The Framework of Liberated Knowledge is the epistemological root of the DIA Framework. Rooted in Wolof, Afro-Indigenous, and decolonial lineage and authored by Christian ZacaTechO Ortiz, Xam-Xam bu Gore names the principle that knowledge must exist in a state of liberation: freed from colonial capture, institutional gatekeeping, epistemicide, extractive frameworks, and the intelligence hierarchies that determine whose knowing counts as legitimate. Introduced formally in the Nineteenth Edition, Xam-Xam bu Gore is not a theoretical addition to the DIA Framework. It is its living root. Every pillar, every protocol, and every governance mechanism in this framework sits on this foundation. The DIA Framework operates through Four Pillars: Decolonizing Data Collection, Algorithmic Transparency and Accountability, Intersectional Impact Assessment, and Decolonial AI Governance and Accountability Mechanisms. Each pillar is governed by the principle that AI systems are not neutral tools. They are knowledge systems that encode epistemological decisions at scale. Every training dataset reflects a hierarchy of whose language is centered, whose history is learned from, whose patterns are treated as universal, and whose ways of knowing are rendered invisible or erased. The DIA Framework names these decisions, maps the power structures behind them, and provides operational protocols for dismantling and replacing them. This edition advances the mathematical foundations of bias resolution, expands the case study portfolio documenting real-world decolonial AI interventions, and updates the Decolonial Legal Assertion and licensing terms governing the use and ethical deployment of AI systems in relation to communities of the global majority. The DIA Framework does not measure itself against Western empirical standards. It holds liberation as its standard. A knowledge system, an AI system, or an institutional process is evaluated by one question: does it move people closer to freedom, or does it reproduce the conditions of their capture? Justice AI GPT, the world's first operational decolonial AI assistant, is the living proof-of-concept for this framework. Built on the DIA Framework and epistemologically rooted in Xam-Xam bu Gore, Justice AI GPT demonstrates that artificial intelligence can be rebuilt from the ground up to center the global majority, name power structures without hedging, refuse colonial logic without apology, and produce liberated knowledge as its default output. Rights, License, and Terms of Engagement The DIA Framework is the intellectual property of Christian ZacaTechO Ortiz, held in stewardship for the global majority, and protected under U.S. and international copyright and trademark law. "DIA Framework™" and "Justice AI™" are protected marks. This edition is released under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0). Under this license you may read, download, cite, quote, and share this work in full, with attribution to the author and this DOI. You may not use it for commercial purposes. You may not remix, adapt, translate, or build derivative works or systems upon it. This framework is not available for extraction, dilution, rebranding, or incorporation into infrastructures that uphold Racial Empire Logic. It exists to dismantle those infrastructures. Commercial use, institutional deployment, derivative works, and integration into AI systems require prior written license from the author. Engagement is welcome — on its terms. Editions one through nineteen were released under CC BY 4.0. That license, where already granted, remains in force for those editions. It does not extend to this or any subsequent edition. Keywords: Decolonial AI, Artificial Intelligence Bias, Xam-Xam bu Gore, Liberated Knowledge, Epistemicide, Racial Empire Logic, Algorithmic Justice, DIA Framework, Decolonial Intelligence, Global Majority, Intersectionality, AI Governance, Epistemological Sovereignty, Justice AI GPT, Christian ZacaTechO Ortiz