Two requests for proposals were released earlier this year. The first track called for research proposals on how AI may impact the UN Poverty, Health, Energy and Climate Sustainable Development Goals (SDGs). The second focused on design proposals for global institutions governing advanced AI, or artificial general intelligence (AGI). The 130 entrants hail from 39 countries including Malawi, Slovenia, Vietnam, Serbia, Rwanda, China, and Bolivia.

“Big Tech companies are investing unprecedented sums of money into making AI systems more powerful rather than solving society’s most pressing problems. AI’s incredible benefits – from healthcare, to education, to clean energy – could largely already  be realized by developing systems to address specific issues” said FLI’s Futures Program Director Emilia Javorsky. “AI should be used to empower people everywhere, not further concentrate power within a handful of billionaires.”

Grantees have each been awarded $15,000 to support their projects. Recipients from the UN SDG track will examine the effects of AI across areas such as maternal mortality, climate change education, labor markets, and poverty. The global governance institution design grants will support research into a span of proposals, including CERN for AI, Fair Trade AI, and a Global AGI agency.

Find out more about the grantees and their projects below.

Grantees: Global Governance Institution Design

View the grant program webpage for more information about each project.

• Justin Bullock, University of Washington, USA – A global agency to manage AGI projects.
• Katharina Zuegel, Forum on Information and Democracy, France – A “Fair Trade AI” mechanism to ensure AGI systems are ethical, trustworthy, and beneficial to society.
• Haydn Belfield, University of Cambridge, UK – An International AI Agency and a “CERN for AI” to centralize and monitor AGI development.
• José Villalobos Ruiz, Institute for Law & AI and Oxford Martin AI Governance Initiative, Costa Rica – An international treaty prohibiting misaligned AGI.
• Joel Christoph, European University Institute, France – An International AI Governance Organization to regulate and monitor AGI development.
• Joshua Tan, Metagov and University of Oxford, USA – A network of publicly-funded AI labs for safe AGI.

Grantees: AI’s Impact on Sustainable Development Goals

View the grant program webpage for more information about each project.

• Uroš Ćemalović, Center for Ecology and Sustainability, Serbia – AI and education on climate change mitigation.
• Reeta Sharma, The Energy and Resources Institute, India – AI for climate resilience.
• Marko Grobelnik, International Research Centre on AI, Slovenia – An AI-driven observatory against poverty.
• Surekha Tetali, Mahindra University, India – AI for heat mitigation and adaptation.
• Sumaya Adan, Oxford Martin AI Governance Initiative, UK – AI’s impact on poverty alleviation in low-resource contexts.
• M. Oladoyin Odubanjo, Nigerian Academy of Science, Nigeria – AI’s impact on health outcomes in Nigeria.
• Nicholas Ngepah, African Institute for Inclusive Growth, South Africa – AI’s role in reducing maternal mortality.
• Andrés García-Suaza, Universidad del Rosario, Colombia – AI’s impact on labor market dynamics and poverty.
• Surafel Tilahun, Addis Ababa Science and Technology University, Ethiopia – AI’s impact on health outcomes and healthcare.
• Patrick Owoche, Kibabii University, Kenya – AI’s role in enhancing maternal healthcare and reducing maternal mortality.

Note to Editors: Founded in 2014, the Future of Life Institute is a leading nonprofit working to steer transformative technology towards benefiting humanity. FLI is best known for their 2023 open letter calling for a six-month pause on advanced AI development, endorsed by experts such as Yoshua Bengio and Stuart Russell, as well as their work on the Asilomar AI Principles and recent EU AI Act.

The first request for proposals (RFP) calls for papers evaluating and predicting the impact of AI on the achievement of the UN Sustainable Development Goals (SDGs) relating to poverty, healthcare, energy and climate change. The second RFP calls for designs of trustworthy global mechanisms or institutions to govern advanced AI in the near future.

Selected proposals in either category will receive a one-time grant of $15,000, to be used at the researcher’s discretion. We intend to make several grants in each track.

Applications for both tracks are now open and will remain so until April 1st, 2024.

Request 1: The Impact of AI on Achieving SDGs in Poverty, Health, Energy and Climate

There has been extensive academic research and, more recently, public discourse on the current harms and emerging risks of AI. In contrast, the discussion around the benefits of AI has been quite ambiguous.

The prospect of enormous benefits down the road from AI – that it will “eliminate poverty,” “cure diseases” or “solve climate change” – helps to drive a corporate race to build ever more powerful systems. But the type of AI capabilities necessary to realize those benefits is unclear. As that race brings increasing levels of risk, we need a concrete and evidence-based understanding of the benefits in order to develop, deploy and regulate this technology in a way that brings genuine benefits to everyone’s lives.

One way of doing that is to see how AI is affecting the achievement of a broadly supported list of global priorities. To that effect, we are looking for researchers to select a target from one of the four UN Sustainable Development Goals (SDGs) we have chosen to focus on – namely goals 1 (Poverty), 3 (Health), 7 (Energy), and 13 (Climate), analyse the (direct or indirect) impact of AI on the realisation of that target up to the present, and then project how AI could accelerate, inhibit, or prove irrelevant to, the achievement of that goal by 2030.

We hope that the resulting papers will enrich the vital discussion of whether AI can in fact solve these crucial challenges, and, if so, how it can be made or directed to do so.

Read more and apply

Request 2: Designs for global institutions governing advanced AI

Reaching a stable future world may require restricting AI development such that the world has a.) no such AGI projects; b.) a single, global AGI project, or c.) multiple monitored AGI projects.

Here we define AGI as a system which outperforms human experts in non-physical tasks across a wide range of domains, including metacognitive abilities like learning new skills. A stable state would be a scenario that evolves at the cautious timescale determined by thorough risk assessments rather than corporate competition.

The success of any of these stable futures depends upon diligent new mechanisms and institutions which can account for the newly introduced risks and benefits of AI capability development. It is not yet clear what such organizations would look like, how they would command trust or evade capture, and so on.

Researchers must design trustworthy global governance mechanisms or institutions that can help stabilise a future with 0, 1, or more AGI projects – or a mechanism which aids more than one of these scenarios. Proposals should outline the specifications of their mechanism, and explain how it will minimise the risks of advanced AI and maximise the distribution of its benefits.

Without a clear articulation of how trustworthy global AGI governance could work, the default narrative is that it is impossible. This track is thus born of a sincere hope that the default narrative is wrong, a hope that if we keep it under control and use it well, AI will empower – rather than disempower – humans the world over.

Read more and apply