A research brief which explores the key data sources, algorithmic techniques and roadblocks in applying remote sensing techniques for development.
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LIRNEasia presents their work on AI-driven poverty mapping at a premier AI conference
Pinpointing where poverty is most severe and tracking its changes over time is crucial for helping communities effectively. However, traditional benchmarks like household surveys and national censuses often fall short—they’re expensive, slow, and infrequent.
Responsible AI in Asia: Draft Report Open for Comments
LIRNEasia has drafted a regional (Asia) report for the Global Index on Responsible AI (GIRAI) that focuses on responsible Artificial Intelligence in the Asia region, which is open for public review until April 13, 2025. This report, the final output a Global Center on AI Governance (GCG)-funded project, exists in three main parts: The first section examines where Asia stands in the Global Index, identifying key trends and regional patterns.
Responsible AI in Asia: Summary of Upcoming Report
The following document is a summary of an upcoming regional report for the Global Index on Responsible AI (GIRAI) that focuses on responsible Artificial Intelligence in the Asia region. The broader report, to be released in April 2025 as the final output of a Global Center on AI Governance (GCG)-funded project, was authored by Merl Chandana and Sukitha Bandaranayake from LIRNEasia, with the India case study written by Anushka Jain and Aarushi Gupta (of Digital Futures Lab, India).
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