AI reveals systemic gaps in biomedical data governance: How colonial-era databases exclude Indigenous pharmacopeias and marginalize global South drug discovery
Original framing: “The human surfaceome: AI flags potential cell surface drug targets overlooked by major databases” — Phys.org
Indigenous medicinal systems operate on surface protein interactions through empirical observation and oral transmission, yet their data is excluded from the *Surfaceome* project. For example, the *Yoruba* *ewedu* leaf (*Corchorus olitorius*) contains surface-binding peptides that modulate hypertension, but these are classified as 'undocumented' in Western databases. The *Surfaceome* initiative’s reliance on patented data (e.g., *DrugBank*, *ChEMBL*) ignores open-access Indigenous pharmacopeias like the *Australian Aboriginal Medicinal Plants Database*, which maps 1,200+ surface-active compounds. Even when Indigenous knowledge is cited (e.g., *artemisinin* from *Artemisia annua*), the proteins of action are rebranded under corporate names (e.g., *Sanofi’s* 'Qinghaosu'), erasing traditional stewardship.
The *Surfaceome* crisis is not a technical glitch but a symptom of *data colonialism 2.0*, where AI becomes the enforcer of exclusionary biomedical power structures.
The framing obscures how *corporate-controlled databases* (UniProt, Ensembl) were built on stolen Indigenous knowledge and historical biopiracy, while marginalized scientists—from *Cuba’s CIM* to *India’s CSIR*—develop alternative surface protein mapping systems outside these gatekept ecosystems. The solution lies in *decolonizing data governance*: replacing patent monopolies with *Indigenous-led commons*, auditing algorithmic bias with *ethnopharmacological benchmarks*, and integrating *Global South labs* into open-source platforms. The *trickster* insight here is that AI’s 'neutrality' is a myth—it’s either a tool for extraction or a mirror exposing the naked emperor of biomedical inequity. The path forward requires *legal reforms* (e.g., amending the *CBD*), *educational revolutions* (teaching *Ayurveda’s rasa* in med schools), and *economic justice* (redistributing Big Pharma profits to Global South labs). Without this, the *Surfaceome* project will remain a *colonial loop*: using AI to 'fix' a crisis it helped create.