Program
Technology and International Affairs
Artificial Intelligence and the Global Majority

Efforts to shape the development and use of artificial intelligence (AI) systems have thus far been driven primarily by actors in the so-called Global North. As a result, conceptions of AI’s potential benefits and harms, developer priorities, and governance processes are often rooted in cultural and historical assumptions that are specific to the Global North, limiting their ability to provide guidance that is informed by and beneficial to the entire global community. 

This project aims to amplify ideas and perspectives from groups and geographic areas that lack strong representation in current global discussions about AI. It offers a series of papers from Carnegie scholars and affiliates focused on how those beyond the Global North experience AI, and how approaches to governance could adapt to these realities to improve AI’s trustworthiness for the Global Majority.

Introducing the Project

In this framing piece, Carnegie scholars Aubra Anthony, Lakshmee Sharma, and Elina Noor consider how those beyond the Global North experience AI and how their approaches can improve AI’s trustworthiness for the Global Majority. Ultimately, the project aims to amplify ideas and perspectives from groups and geographic areas that lack strong representation in current global discussions about AI. 

paper
Advancing a More Global Agenda for Trustworthy Artificial Intelligence

International AI governance enshrines assumptions from the more well-resourced Global North. These efforts must adapt to better account for the range of harms AI incurs globally.

article
Latin American AI Strategies Can Tackle Copyright as a Legal Risk for Researchers

Amid the rapid adoption of AI, there is a complicated balance between IP rights, especially copyright regimes, and international human rights standards. Latin American countries can update policy environments to strengthen support for the right to research with AI.

  • Carolina Botero
· April 30, 2024
article
The Plight of Platform Workers Under Algorithmic Management in Southeast Asia

Algorithmic management by large online platforms disrupts societal relations. A case study about drivers in Southeast Asia demonstrates the worldwide shifts that are underway.

  • Jun-E Tan
  • Rachel Gong
· April 30, 2024
article
A Global South Perspective on Explainable AI

A context-driven approach is necessary to translate principles like explainability into practice globally. These vignettes illustrate how AI can be made more trustworthy for users in the Global South through more creative, context-rooted approaches to legibility.

  • Jake Okechukwu Effoduh
· April 30, 2024
article
How African NLP Experts Are Navigating the Challenges of Copyright, Innovation, and Access

AI producers need to better consider the communities directly or indirectly providing the data used in AI development. Case studies explore tensions in reconciling the need for open and representative data while preserving community agency.

  • Chijioke Okorie
  • Vukosi Marivate
· April 30, 2024
article
Ordinary Ethics of Governing AI

Artificial intelligence has real impacts on the everyday lives of people all around the world. These stories invite a broader conversation on research and policy about AI in the global south.

  • Ranjit Singh
· April 30, 2024
paper
Advancing a More Global Agenda for Trustworthy Artificial Intelligence

International AI governance enshrines assumptions from the more well-resourced Global North. These efforts must adapt to better account for the range of harms AI incurs globally.