Foundational models like large language models (LLMs) have recently commanded widespread public attention—and caution—given their transformational potential for both our economy and society. Naturally, questions loom about how these AI innovations will impact the global development research and policy landscape. If used properly by the right actors, these tools might unlock enormous troves of data and create new opportunities to improve lives around the world.
The World Bank's Development Impact (DIME) department and Development Data Group (DECDG), the Center for Effective Global Action (CEGA), and the development community at the University of Chicago are excited to explore this topic at our tenth annual Measuring Development (MeasureDev) Conference, “AI, The Next Generation.”
MeasureDev 2024 will feature presentations on AI that span the measurement ecosystem: from efforts to improve and expand responsible data infrastructure in low- and middle-income countries (LMICs) and facilitate the development of a new generation of AI tools, to analysis tailoring foundational models to optimize generative AI (GenAI) including LLMs for social impact. The event will feature speakers who are shaping the way these new tools will be adopted and regulated.
Featured Speakers
 | Daniel BjörkegrenHead of AI and Development initiative at the Center for Development Economics and Policy (CDEP), Columbia University |
 | Uyi Stewart, Ph.D.Chief Data and Technology Officerdata.org Uyi Stewart oversees all of data.org’s programmatic initiatives which today include the Generative AI Skills Challenge, Inclusive Growth and Recovery Challenge, the Capacity Accelerator Network, and Epiverse. He is a trailblazing expert in data science, artificial intelligence, systems thinking, and strategic digital innovation. |
