This hub offers curated resources that explore opportunities to address climate change and nature loss using modern AI. Potential applicants were encouraged to review these resources as a starting point, but were not limited to the information or approaches presented here. All links and resources were provided for informational purposes only.
Resources
AI for climate and nature
This report reviews current uses of AI in climate and nature, and identifies emerging opportunities at the nexus of those fields.
This report summarizes findings from an October 2023 workshop that convened experts across climate, nature, and AI, which explored opportunities for AI to accelerate climate and nature solutions.
This video playlist features lightning talks from leading researchers, entrepreneurs, and decision-makers across AI, climate, and nature to explore opportunities for impact.
This recorded livestream includes sessions from leaders within city government, academia, and frontline organizations on addressing climate and nature issues using modern AI.
This report makes 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.
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.
This report provides an overview of how AI can be applied to address environmental challenges, including climate change, biodiversity loss, and water scarcity.
This paper describes how machine learning can be deployed to reduce greenhouse gas emissions and help society adapt to a changing climate.
The AI for Climate and Nature Grand Challenge team hosted a virtual information session to provide an overview of the Grand Challenge and answer questions.
Focus areas
The first round of the Grand Challenge will focus on sustainable proteins, power grid optimization, and biodiversity conservation — as well as other visionary wildcard climate and nature solutions.
Sustainable proteins
Sustainable proteins like plant-based and cultivated meat can satisfy the growing demand for meat while reducing pressure on the planet. To achieve widespread adoption, sustainable proteins need to compete with animal-sourced proteins on taste, price, and nutrition. Download a one-page summary to learn more about sustainable proteins (PDF).
This resource hub includes research and insights on sustainable proteins.
This review paper summarizes research on consumer attitudes toward plant-based and cultivated meat products, providing insights for product development and marketing.
This primer provides an overview of the plant protein landscape, including market trends, technological innovations, and environmental benefits.
This report outlines a variety of current alternative food products and the research needed to understand their health, environmental, and social impacts.
Dr. Andy Jarvis, Director of the Future of Food at the Bezos Earth Fund, joins Rebecca Meyer from Luminary Labs for a conversation on enhancing sustainable proteins and leveraging AI to amplify its impact.
Power grid optimization
The global electricity grid — a complex network of over 7 million kilometers of transmission lines serving billions of people — is in urgent need of transformation to meet the world’s climate goals. Download a one-page summary to learn more about power grid optimization (PDF).
This technology brief, part of IRENA’s Power Sector Transformation resource, provides an overview of the main performance and costs of technologies that are used to support renewable energy grid integration.
This portal offers information about smart grid initiatives and technologies.
Dr. Amen Ra Mashariki, Director of AI and Data Strategies at the Bezos Earth Fund and Nicole Iseppi, Director of Energy Innovation at the Bezos Earth Fund, join Rebecca Meyer from Luminary Labs for a conversation on enhancing power grid optimization and leveraging AI to amplify its impact in this domain.
Biodiversity conservation
The world is witnessing a massive decline in habitats, wildlife populations, and genetic diversity driven by climate change, natural resource exploitation, and invasive species. Download a one-page summary to learn more about biodiversity conservation (PDF).
An international network and open data infrastructure, funded by governments. It provides access to data about all types of life on Earth, supportive of biodiversity research.
This IUCN Red List is a comprehensive database on the global extinction risk of animal, fungus, and plant species, providing a foundation for biodiversity conservation efforts.
This platform uses AI to streamline wildlife monitoring from camera trap data, providing insights for conservation decision-making.
Dr. Cristián Samper, Managing Director and Leader for Nature Solutions at the Bezos Earth Fund, joins Rebecca Meyer from Luminary Labs for a conversation on enhancing biodiversity conservation and leveraging AI to amplify its impact in the fight against climate change and nature loss.
Understanding AI and using it responsibly
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.
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.
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.
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.
A free online course that introduces the basics of artificial intelligence to non-experts, helping them understand and use AI responsibly.
These guidelines ensure AI systems are developed and deployed in a trustworthy manner, focusing on ethical considerations and robustness.
This initiative includes collaborations with labs, centers, and institutes spanning many aspects of technology and society.
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.
The panel provided an overview of the opportunities, benefits, and challenges of implementing AI solutions for climate and nature. Dr. Amen Ra Mashariki from the Bezos Earth Fund was joined by AI experts Lauren Bennett from Esri and Patrick Beukema from AI2 to answer questions from the Grand Challenge team.
Building a team and developing a solution
This toolkit provides practical steps to creating a successful partnership, writing an effective partnership agreement, and getting collaboration off to a good start.
This tool helps businesses understand and communicate their societal impact to enhance operational and strategic decision-making.