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.
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.
