Anthropology and artificial intelligence

Readings on how artificial intelligence reorganises social life, knowledge and relations.

What is AI anthropology?

AI anthropology studies artificial intelligence as part of social life. It asks how people build, use, interpret and contest these systems, and how institutions turn their outputs into decisions. A model is also a meeting point between categories, labour, infrastructures and ideas about what a person is.

At AIthropology Lab, this perspective brings social and cultural anthropology into conversation with current technological debates. We follow questions of power, knowledge and everyday experience across workplaces, public institutions and the territories that sustain computation. Studying AI in this way also means listening to people whose work or knowledge disappears from accounts of automation.

This guide offers a route through our essays and notes. The readings approach different cases rather than proposing a single theory of AI. Together, they invite comparison between what systems promise, how they operate in particular settings and who can question their consequences.

Three questions to follow

  • Who defines the categories? What counts as knowledge, risk or a relevant difference when social life becomes data?
  • Who sustains automation? Which forms of labour, care and material extraction make apparently autonomous systems possible?
  • Who can demand accountability? How do people contest decisions, claim recognition and change the institutions that deploy AI?

A reading route

  1. AI Does Not Evolve Alone

    Start with the debate on progress and classification. This essay locates AI within the social relations that enable its development and questions the idea of autonomous evolution.

  2. When prediction is not explanation

    Explore the limits of predictive knowledge. The relationship between models, biology and persons raises the question of what is lost when correlation is presented as explanation.

  3. The gesture as data

    A reading on labour and automation, focusing on embodied skills and everyday gestures that become data for training systems.

  4. The cloud has a geography

    Follow AI beyond the screen. This essay examines its material conditions and the relationships between infrastructure, energy, territory and extraction.

  5. From Truman to Pax Silica

    Connect development anthropology with technological geopolitics. The essay asks how the language of security organises unequal positions in supply chains.

  6. Ayiti: Trouillot, AI and a single finite world

    From Haiti and Michel-Rolph Trouillot, shift attention towards the lives and histories left out of promises about the technological future.

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