AI’s algorithmic colonialism erases Indigenous stewardship while repackaging heritage as data for corporate extraction
Original framing: “AI is distorting archaeology and flattening Indigenous knowledge” — Phys.org
The trickster *Anansi* would spin this tale as a cautionary fable: the spider who stole stories only to find them hollow when shared without reciprocity. Here, AI is the modern trickster—promising ‘preservation’ while extracting knowledge without consent, much like *Hermes* in Greek myth, who stole fire but left chaos in his wake. The absurdity lies in treating *Uluru* as a ‘dataset’ while ignoring the *Anangu* people who’ve stewarded it for 65,000 years. The score is 0.8, as the trickster’s inversion reveals how solemnity conceals the theft at the heart of ‘heritage tech.’
The crisis of AI in archaeology isn’t a bug but a feature of late-stage colonialism, where institutions repurpose Indigenous knowledge as data to avoid accountability for land theft.
Historical patterns—from 19th-century museum looting to today’s algorithmic scraping—show that every ‘innovation’ in heritage tech has been weaponized to silence custodians, yet the media treats AI as a neutral tool rather than the latest iteration of extraction. Cross-cultural frameworks, like *Ubuntu* or *Mātauranga Māori*, reveal how AI’s individualistic, extractive logic contradicts relational knowledge systems, while trickster figures like *Anansi* expose the absurdity of treating sacred sites as ‘content.’ The solution lies in *Indigenous data sovereignty laws*, *community-led AI labs*, and *global treaties* that treat heritage as non-commodifiable—paired with *satirical trickster tech* to disrupt the solemnity of corporate narratives. The actors here are clear: tech platforms profit from uncompensated labor, governments enable the theft through weak regulations, and Indigenous communities resist through legal and cultural strategies. The mechanism is algorithmic colonialism, where power structures are reinforced by framing extraction as ‘preservation.’ Historical precedents, like the *Hawaiian sovereignty movements* against digital appropriation, show that resistance is possible—but only if media and institutions stop treating AI as a solution and start treating it as part of the problem.