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Since its founding, the Bezos Earth Fund has known the potential for AI to multiply impact for climate change mitigation and nature loss solutions. The Earth Fund has brought together practitioners across climate, nature, and AI to build community within the space and inform the design of the AI for Climate and Nature Grand Challenge. Through this work, the Earth Fund supported the development of three reports that offer insights on the landscape of climate, nature, and AI. The Grand Challenge is exploring new ideas that will build upon work already happening across the globe, to scale impact of climate and nature solutions using modern AI.

These reports and other resources were available to Grand Challenge applicants and the broader ecosystem in support of the AI for Climate and Nature community.

Aerial view of a green rainforest, Congo Basin.

Landscape Assessment of AI for Climate and Nature Report

Columbia University’s Climate School and the Fu Foundation School of Engineering and Applied Science; the University at Albany, State University of New York; and Esri; commissioned by and in collaboration with the Bezos Earth Fund. Published May 2024.

This report is an overview of current uses of AI in climate and nature, as well as emerging opportunities at the nexus of those fields.

Aerial view of irrigation equipment, green soybean crops.

Grand Challenge Initiatives in AI for Climate & Nature: Landscape Assessment and Recommendations

Climate Change AI in partnership with the Center for Open Data Enterprise and Data Innovators; commissioned by and in collaboration with the Bezos Earth Fund. Published June 2024.

Strategic recommendations on the design of Grand Challenges in AI for climate and nature, grounded in an analysis of 200+ Grand Challenges and open innovation initiatives.

Aerial view of rows of solar panels, South Africa.

AI for Climate and Nature Workshop: Summary Report

The Bezos Earth Fund and Foresight Institute. Published October 2023.

The organizations hosted an AI for Climate and Nature Workshop in San Francisco, bringing together practitioners, researchers, and entrepreneurs working across AI, climate, and nature. Designed to provide critical insights and inform next steps, the workshop identified key AI “superpowers,” priority climate and nature challenges, and 59 opportunity areas where AI capabilities could be matched with the greatest needs. The resulting report summarized key insights and findings from the Bezos Earth Fund-led workshop.

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AI for Climate and Nature Workshop lightning talks

The Bezos Earth Fund and Foresight Institute.

This video playlist features lightning talks from leading researchers, entrepreneurs, and decision-makers across AI, climate, and nature to explore opportunities for impact.

AI for Climate and Nature Spring Convening

Columbia University and the Bezos Earth Fund.

This recorded livestream includes sessions from leaders within city government, academia, and frontline organizations on addressing climate and nature issues using modern AI.

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Artificial Intelligence for Climate Change Mitigation Roadmap

Innovation for Cool Earth Forum.

This report provides an introduction to the nexus of AI and climate change, and explores six areas in which AI is helping respond to climate change.

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Harnessing Artificial Intelligence for the Earth

World Economic Forum.

This report provides an overview of how AI can be applied to address environmental challenges, including climate change, biodiversity loss, and water scarcity.

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Tackling Climate Change with Machine Learning

Climate Change AI.

This paper describes how machine learning can be deployed to reduce greenhouse gas emissions and help society adapt to a changing climate.

Sustainability. Morning fog aerial view.

Using Artificial Intelligence for Social Impact

Nesta.

This toolkit helps teams conduct impact assessments for AI projects, ensuring their solutions are aligned with ethical standards and effectively address problems at the appropriate scale.

AI for Good

International Telecommunication Union.

This organization offers resources on the responsible application of AI in global problem-solving, providing guidelines and case studies to help teams effectively and ethically leverage AI technologies for environmental and societal benefits.

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Scaling Responsible AI Solutions: Challenges and Opportunities

The Global Partnership for Artificial Intelligence.

This report shares learnings and recommendations from the Scaling Responsible AI Solutions project, which matched AI teams with mentors to identify and tackle challenges in responsibly scaling AI solutions for positive socio-environmental impact.

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Responsible AI Framework

Responsible Innovation Labs.

This framework provides resources and actionable guidance for early-stage AI startups and their investors to operationalize responsible AI practices, focusing on key areas such as risk assessment, product safety testing, and ongoing improvement.

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Elements of AI

University of Helsinki.

A free online course that introduces the basics of artificial intelligence to non-experts, helping them understand and use AI responsibly.

Abstract icon representing the environmental of Ai in the form of a pond with a Ai symbol in the middle of a beautiful untouched jungle. 3d rendering.

Ethics Guidelines for Trustworthy AI

European Commission.

These guidelines ensure AI systems are developed and deployed in a trustworthy manner, focusing on ethical considerations and robustness.

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Human-Centered Artificial Intelligence (HAI) Centers

Stanford University.

This initiative includes collaborations with labs, centers, and institutes spanning many aspects of technology and society.

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Recommendation on the Ethics of Artificial Intelligence

United Nations Educational, Scientific and Cultural Organization.

This draft of UNESCO’s recommendations provides a framework of values, principles, and policy actions to guide stakeholders in developing ethical AI systems that respect human rights, promote human dignity, and protect the environment.

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