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Artificial Intelligence for the Environment

Artificial intelligence for biodiversity preservation

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Project RAISE provides actionable recommendations for governments, NGOs, researchers, and companies on how to leverage AI to support biodiversity conservation.
With biodiversity loss being one of humanity’s most pressing issues, urgent and concerted efforts are needed to address it. AI can be a valuable tool as it offers opportunities to speed up conservation efforts, but its use must align with a paradigm shift towards new, sustainable models of development.

Foundational, science-based recommendations on how to responsibly use AI for biodiversity preservation.

In partnership with the WWF, Oxford University, Radiance International, KPMG, and Saint Joseph University of Beirut, Project RAISE developed a report that outlines a Responsible AI for Biodiversity framework, recommendations for policymakers and AI practitioners, and a sector-wide AI-for-biodiversity roadmap. Biodiversity loss is one of the most critical issues facing humanity, requiring urgent and coordinated action.

The Project RAISE report assesses the current landscape of AI and biodiversity initiatives, identifies gaps, offers a vision for how AI can be applied to support conservation efforts, identifies bottlenecks to such adoption, proposes recommendations to achieve the proposed vision, and puts forward a roadmap for how these recommendations can be delivered.

The potential applications of AI are numerous, including automated species classification, automated monitoring of land use changes, tracking fishing vessels, assessing the impact of biodiversity policies, and the optimisation of biodiversity-positive business models for key sectors. Such applications enable enhanced transparency, accountability and action that can support biodiversity conservation. However, it’s important to remember that AI should be used in conjunction with other efforts to ensure the conservation of biodiversity.


Stephanie King


Director of AI Initiatives

Arnaud Quenneville-Langis


Project Manager

Johannes Leon Kirnberger


Project Manager

Nicolas Miailhe

The Future Society

GPAI expert and Project co-lead

Raja Chatila

Sorbonne Université

GPAI expert and Project co-lead

Lee Tiedrich

Duke University

GPAI expert and Project co-lead

Steering Committee

Daniel Barthelemy

University of Montpellier

Christian Lemaître

Metropolitan Autonomous University - UAM, Mexico City

Dave Thau

World Wildlife Fund - WWF

Sara Beery

Massachusetts Institute of Technology - MIT

Tanya Berger Wolf

Ohio State University


Pete Clutton-Brock

Judith Ament

Nasser Olwero

Simon Jackman

Steven Reece

Orlaith Delargy

Rhea Kahale




Oxford University

Saint Joseph University of Beirut

Collaborative opportunities with CEIMIA

In the report on biodiversity and AI, we have introduced a sector-wide AI for biodiversity roadmap, with concrete recommendations for action. We welcome any organisation and specifically GPAI member governments to collaborate with Project RAISE on operationalising these recommendations and leverage AI for biodiversity preservation.

Additionally, we welcome expert representatives from external organisations in this domain to join the team as members of the Project Advisory Group.