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This platform serves as a living evidence repository for AI governance across the Global South — combining real incident analysis, regulatory interpretation, field research, and practical implementation tools.
Upcoming releases expand this evidence layer with structured evidence packs, practitioner checklists, audit playbooks, and policy briefing material designed for real-world institutional deployment.
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How Zambia's DawaMom case reveals the fairness risks of AI-driven maternal healthcare when open-source data, biomedical defaults, and infrastructure gaps fail to reflect local realities.
How Uganda's Ndaga Muntu national ID system exposes the human cost of digital identity when legal status, public services, finance, education, and land rights depend on fragile registry infrastructure.
How Kenya's shift from Huduma Namba to Maisha Namba exposes the fairness, legal, and infrastructure failures that can turn digital identity into exclusion by design.
The Mobley v. Workday lawsuit represents a landmark shift in legal accountability, establishing that AI software vendors can be held liable as agents for discriminatory hiring practices that exclude qualified candidates. The case highlights how black box algorithms can systematically penalize individuals based on race, age, and disability through biased training data and the use of neutral proxies. This legal evolution signals a broader mandate for Accountability by Design, requiring employers and developers to ensure transparency and human oversight in automated recruiting systems
This article examines the landmark Harper v. Sirius XM Radio, LLC lawsuit, highlighting how automated hiring systems can institutionalize racial discrimination through proxy biases like zip codes and educational institutions. By analyzing the technical and systemic failures of the iCIMS implementation, it offers a critical roadmap for corporate AI governance to prevent qualified talent from becoming algorithmically-invisible while navigating an era of increasing regulatory scrutiny
A 2026 lawsuit against Eightfold AI reveals how job applicants may have been secretly scored using social media and online data, without consent or transparency. The case exposes how AI hiring systems can replicate bias, exclude candidates with thin digital footprints, and create massive legal and fairness risks. What happens when invisible algorithms decide who gets a chance?
