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FLI Grant Program: Impact of AI on Poverty, Health, Energy and Climate SDGs
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This FLI grant program page documents funded research evaluating AI's impact on UN Sustainable Development Goals (poverty, health, energy, climate), relevant to AI safety discussions about beneficial AI deployment and societal impacts in the Global South.
Metadata
Importance: 32/100organizational reportreference
Summary
The Future of Life Institute (FLI) ran a 2024 grant program funding research on AI's impact on UN Sustainable Development Goals related to poverty, healthcare, energy, and climate change. Ten projects each received $15,000, with proposals coming predominantly from the Global South. The funded research covers topics including maternal mortality, climate education, labor markets, and poverty alleviation.
Key Points
- •FLI awarded $15,000 each to 10 research teams evaluating AI's impact on SDGs related to poverty, health, energy, and climate.
- •Over 100 proposals were received globally, with a majority from the Global South, highlighting underrepresented AI research communities.
- •Projects span diverse topics: climate change education, heat mitigation, poverty observatories, and AI for climate resilience.
- •The program highlights that impactful AI projects addressing genuine human problems remain underfunded and underrecognized.
- •Research methods include scenario planning, predictive modeling, policy impact simulations, and qualitative analysis.
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All Grant Programs Call for proposals evaluating the impact of AI on Poverty, Health, Energy and Climate SDGs
In 2024, FLI called for proposals for research evaluating in detail how artificial intelligence (AI) has so far impacted the Sustainable Development Goals (SDGs) relating to poverty, healthcare, energy and climate change, and how it can be expected to impact them in the near future. Status: Funds allocated In early 2024, FLI put out a call for proposals for research evaluating how AI may impact the Sustainable Development Goals (SDGs) relating to poverty, healthcare, energy and climate change. Over a hundred proposals came in from across the world, with a majority from the Global South. The ten successful applicants each received $15,000. Their papers examined the effects of AI across areas such as maternal mortality, climate change education, labor markets, and poverty. Seen together, this collection reiterates the fact that the most exciting and important AI projects to solve genuine human problems is yet to receive the recognition and funding it merits.
Grants archive
An archive of all grants provided within this grant program: Project title AI and education on climate change mitigation – from King Midas problem to a golden opportunity?
Amount recommended $15,000.00 Primary investigator Uroš Ćemalović , Center for Ecology and Sustainability, Serbia Details Project Summary
Uroš Ćemalović, a Serbian lawyer and researcher at the Center for Ecology and Sustainability, will evaluate the impact of AI on the achievement of SDG target 13.3, with a focus on education on climate change mitigation. Two questionnaires will gather data on the level of inclusion of AI-based educational tools at universities, the level of interoperability of these tools in natural and social sciences and how educators feel about it. The main observed tendencies will then be extrapolated for the period 2024-2030.
Project title AI for Climate Resilience
Amount recommended $15,000.00 Primary investigator Reeta Sharma , The Energy and Resources Institute, India Details Project Summary
At the Energy and Resources Institute in New Delhi, Reeta Sharma and her team will conduct a thorough examination of existing literature to identify AI applications utilised in climate change mitigation and adaptation efforts, as well as a qualitative analysis to discern trends, patterns, and potential challenges associated with employing AI for climate action. The team will then employ a range of analytical methods, including scenario planning, modelling and simulation, to project AI's impact on achieving this SDG (13).
Project title An AI-driven Observatory Against Poverty
Amount recommended $15,000.00 Primary investigator Marko Grobelnik , International Research Centre on Artificial Intelligence under the auspices of UNESCO (IRCAI) & Artificial Intelligence Lab at the Institute Jozef Stefan (JSI), Slovenia Details Project S
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