A Primer on AI in/from the Majority World: An Empirical Site and a Standpoint

44 Pages Posted: 8 Sep 2022 Last revised: 13 Sep 2022

See all articles by Sareeta Amrute

Sareeta Amrute

Data & Society Research Institute

Ranjit Singh

Data & Society Research Institute

Rigoberto Lara Guzmán

Data & Society Research Institute

Date Written: September 14, 2022

Abstract

Current understandings of AI systems and their effects have a weakness: most people affected by these systems at a planetary level are left out of discussions about the histories, futures, and approaches to how computational, data-driven systems operate and where they come from. We asked ourselves two questions when making this primer. First, how can we describe living with AI systems and their data collection practices as they increasingly become central to organizing everyday life? And second, what visions can we surface for building equitable AI infrastructures for the geographic regions that are home to the majority of the human population: what we’ll refer to as the majority world? We offer this collection as an invitation to explore a preliminary listing of resources and to engage with the point of view of the majority world. We identify and gather resources in multiple formats - books, journal articles, newspaper articles, blog posts, podcasts, lectures, interviews - that together provide a window into what makes data-driven AI-based interventions possible in the majority world.

Keywords: Majority world, global south, AI, feminist AI, decolonial AI, afro-modernities, caste, indigeneity, development, labor, migration, surveillance, extraction, colonialism, social protection, experimentation

Suggested Citation

Amrute, Sareeta and Singh, Ranjit and Guzmán, Rigoberto Lara, A Primer on AI in/from the Majority World: An Empirical Site and a Standpoint (September 14, 2022). Available at SSRN: https://ssrn.com/abstract=4199467 or http://dx.doi.org/10.2139/ssrn.4199467

Sareeta Amrute

Data & Society Research Institute ( email )

36 West 20th Street
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United States

Ranjit Singh (Contact Author)

Data & Society Research Institute ( email )

36 West 20th Street
11th Floor
New York,, NY 10011
United States

Rigoberto Lara Guzmán

Data & Society Research Institute ( email )

36 West 20th Street
11th Floor
New York,, NY 10011
United States

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