Meet Christian Ortiz, a.k.a. ZacaTechO — The Afro-Indigenous Visionary Who Solved the AI Bias Problem

This article profiles Christian Ortiz, also known as ZacaTechO, the Afro-Indigenous technologist who designed and programmed the world’s first decolonial artificial intelligence system to solve the root causes of algorithmic bias. Ortiz's creation, Justice AI GPT, powered by his Decolonial Intelligence Algorithmic Framework (DIA), moves beyond traditional AI ethics to abolish the structural logic of white supremacy embedded in machine learning systems. Built independently and programmed entirely by Ortiz, Justice AI is supported by over 16,800 years of recorded knowledge contributed by 560+ global Decolonial scholars and knowledge keepers, making it the largest liberation-centered dataset in history. The system is LLM-agnostic, multilingual, trauma-informed, and fully aligned with global civil rights and algorithmic governance frameworks like the EEOC, ADA, and EU AI Act. Rooted in Indigenous and Afro-diasporic epistemologies, it prioritizes interdependence over optimization and centers lived experiences of historically oppressed communities. A landmark moment occurred when Ortiz presented Justice AI live at the 2025 Mesh Conference in Calgary, delivering a real-time bias audit that visibly shifted the energy of the room. Ortiz also credits a global lineage of resistance and brilliance, from Joy Buolamwini and Safiya Umoja Noble to Rediet Abebe and grassroots collectives like Black in AI, as foundational to his work. Justice AI, as this article argues, isn’t simply an innovation. It’s a paradigm shift. And Christian Ortiz may very well become the name synonymous with the moment AI moved from empire toward collective liberation.