Ramchurn, Gopal, Jones, Matt, Owen, Aled Lloyd, Ehsan, Shoaib, Kiden, Sarah, Eke, Damian, McStay, Andrew, Reitmaier, Thomas, Kalarikalayil Raju, Dani, Castenada, Nestor, Sailaja, Neelima, Faith, Becky, Hermann, Antony, Kalra, Kanika, Hawes, Ben, Adams, Rachel, Meier, Patrick, Sharma, Gaurav and Vishwarupe, Varad (2025) Responsible AI. To enable flourishing in and by Low- and Middle- Income Countries (LMICs). In, Responsible Ai UK. University of Southampton. (doi:10.5258/RAi/001).
Abstract
This report explores how governments and industry in Low- and Middle-Income Countries (LMICs) might adopt AI to serve the values, needs and aspirations of individuals and communities, and drive the achievement of development goals. It draws on RAi UK projects working with partners in India and Indonesia and in countries in Africa and in South America, and identifies challenges, early solutions and policy implications. The aim is to identify priority areas and questions for RAi UK and other researchers and organisations to explore further. In this report we focus on the emerging challenges and other outputs of research on AI for LMICs. We convened leaders and members of projects that explore embedding AI tools and resources that are sensitive to local, cultural norms and end-user experience through co-creation with communities.
More information
Identifiers
Catalogue record
Export record
Altmetrics
Contributors
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.