A groundbreaking study from Leiden University asserts that artificial intelligence is fundamentally a “straight white man” technology, disproportionately disadvantaging women, minorities, and non-Western users due to its development by a homogenous group.[1]

This analysis underscores how AI’s biases perpetuate global inequalities, with profound implications for Pan-African nations striving for technological sovereignty.

Study Details and Findings

Conducted by Maaike Harbers, an expert in responsible AI, the research—highlighted in Leiden University’s February 2025 publication—reveals AI’s skewed foundations. Algorithms trained on male-dominated health data perform poorly for women, while image generators like ChatGPT default to white male “professors,” reinforcing stereotypes.[1]

Harbers notes developers at major tech firms are “generally straight, white and male,” embedding their worldview into code used by billions. This creates a feedback loop: biased data yields biased outputs, sidelining diverse perspectives.[1]

The study calls for women-led AI development to foster ethical, inclusive systems—a direct challenge to Big Tech’s monopoly.

Pan-African Ramifications

For Africa, where AI promises fintech revolutions and agricultural optimization, this “white male” imprint risks deepening colonial-era extractivism. Tools like biased facial recognition fail darker skin tones, as seen in prior audits, while language models favor Western English over African tongues or dialects.[2]

In Burkina Faso or Ghana, AI-driven hiring or lending could exclude youth from informal economies, mirroring Sky News-style narratives that undervalue local innovation. Pan-African leaders must prioritize homegrown AI, drawing from Ubuntu principles for communal, bias-free tech.

Path Forward

Harbers advocates interdisciplinary reforms: diverse training data, ethical audits, and female/minority leadership in AI labs. African unions like the AU could mandate “decolonized” datasets, blending indigenous knowledge with global standards.

This Leiden study is a wake-up call: without intervention, AI remains a neocolonial tool. Africa must build its own—rooted in equity, not exclusion.