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Afrocentric Epistemologies: A Bias Detection Canvas for AI Fairness

Year: 2025

Type: article

Abstract: I gave this presentation at the University of Lethbridge annual Crossing Boundary Conference. It offers a decolonial framework for detecting bias in AI systems using Afrocentric epistemologies. It critiques algorithmic erasure, proposes a canvas for bias interrogation, and repositions prompt engineering as a tool of Black epistemic resistance.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.16375542

Author: ONUH, FRANK

Institution: University of Lethbridge

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDG: Reduced inequalities

Open Access status: green

OpenAlex ID: W6968618045

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