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Recent rapid advances in Artificial Intelligence (AI) hold immense promise for accelerating the pace of economic development. AI could vastly expand access to knowledge for students and teachers, health providers and patients, entrepreneurs and farmers. By interpreting large amounts of data, it could multiply the efficiency and scale of operations for example for lending institutions, tax authorities, public health and educational bodies, and disaster preparedness. Algorithms can match resources to those who need them, such as aid to refugees, mediators to litigating parties, or extension services to farmers.
As AI is penetrating every area of the economy, issues such as equity of access and implications for the future of work need to be understood, mitigated, and addressed to ensure that AI offers a path to prosperity for all. The AI and Digital Development (AI/DD) Research Initiative is convening a community of researchers and policy partners that can deliver unbiased data and rigorous insights on the impact of AI and digital development in Low- and Middle-Income Country (LMIC) economies. We aim to create and disseminate high-quality, independent evidence on AI’s effects on individual outcomes as well as its impacts on the global economy.
Key Questions
In its first phase, the AI/DD Research Initiative will focus on three “big questions”:
AI and Healthcare: Can AI solutions improve the health of the poor?
AI and Jobs: How will AI change the markets for skills in LMICs?
AI and Technological Change: What are the impacts of AI on firm composition, competitiveness, and growth in LMICs?
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IEEE International Conference on Healthcare Informatics (ICHI). June 2024.
We explore prompt designs for a lightweight integration of a large language model (LLM) into clinical decision support in primary care in Nigeria. The LLM integration is designed to give immediate, actionable "second opinions" to frontline healthworkers on their patient interaction notes. The assessment of a physician serves as a benchmark for the quality of the LLM feedback. A particular challenge was to counter the LLM's tendency to over-recommend laboratory testing, which is more in line with medical practice in high-income countries. We evaluate the ability of a range of prompt engineering approaches to better align the LLM's medical test recommendations with locally appropriate standards of clinical care.
Digital technologies offer the possibility of a new era in development. The April 2024 edition of the World Bank research newsletter makes the case that investing in digital infrastructure and skills will be critical for countries that hope to realize the benefits. The newsletter highlights topics such as building digital skills, AI-powered development, finance and digital payments, and emerging challenges in digital development.
Large Language Models (LLMs) are quickly becoming ubiquitous, but the implications for social science research are not yet well understood. This paper asks whether LLMs can help us analyse large-N qualitative data from open-ended interviews, with an application to transcripts of interviews with displaced Rohingya people in Cox’s Bazaar, Bangladesh. The analysis finds that a great deal of caution is needed in using LLMs to annotate text as there is a risk of introducing biases that can lead to misleading inferences.
Recent rapid advances in Artificial Intelligence (AI) hold immense promise for accelerating the pace of economic development. AI could vastly expand access to knowledge for students and teachers, health providers and patients, entrepreneurs and farmers. By interpreting large amounts of data, it could multiply the efficiency and scale of operations for example for lending institutions, tax authorities, public health and educational bodies, and disaster preparedness. Algorithms can match resources to those who need them, such as aid to refugees, mediators to litigating parties, or extension services to farmers.
As AI is penetrating every area of the economy, issues such as equity of access and implications for the future of work need to be understood, mitigated, and addressed to ensure that AI offers a path to prosperity for all. The AI and Digital Development (AI/DD) Research Initiative is convening a community of researchers and policy partners that can deliver unbiased data and rigorous insights on the impact of AI and digital development in Low- and Middle-Income Country (LMIC) economies. We aim to create and disseminate high-quality, independent evidence on AI’s effects on individual outcomes as well as its impacts on the global economy.
Key Questions
In its first phase, the AI/DD Research Initiative will focus on three “big questions”:
AI and Healthcare: Can AI solutions improve the health of the poor?
AI and Jobs: How will AI change the markets for skills in LMICs?
AI and Technological Change: What are the impacts of AI on firm composition, competitiveness, and growth in LMICs?
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
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