Reflections from the Workshop on AI-Assisted Decision Making for Conservation

Lily Xu; Esther Rolf; Sara Beery; Joseph R. Bennett; Tanya Berger-Wolf; Tanya Birch; Elizabeth Bondi-Kelly; Justin Brashares; Melissa Chapman; Anthony Corso; Andrew Davies; Nikhil Garg; Angela Gaylard; Robert Heilmayr; Hannah Kerner; Konstantin Klemmer; Vipin Kumar; Lester Mackey; Claire Monteleoni; Paul Moorcroft; Jonathan Palmer; Andrew Perrault; David Thau; Milind Tambe

arXiv · 2307.08774

Reflections from the Workshop on AI-Assisted Decision Making for Conservation

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Abstract

In this white paper, we synthesize key points made during presentations and discussions from the AI-Assisted Decision Making for Conservation workshop, hosted by the Center for Research on Computation and Society at Harvard University on October 20-21, 2022. We identify key open research questions in resource allocation, planning, and interventions for biodiversity conservation, highlighting conservation challenges that not only require AI solutions, but also require novel methodological advances. In addition to providing a summary of the workshop talks and discussions, we hope this document serves as a call-to-action to orient the expansion of algorithmic decision-making approaches to prioritize real-world conservation challenges, through collaborative efforts of ecologists, conservation decision-makers, and AI researchers.

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Lily Xu, Esther Rolf, Sara Beery, Joseph R. Bennett, Tanya Berger-Wolf, Tanya Birch, Elizabeth Bondi-Kelly, Justin Brashares, Melissa Chapman, Anthony Corso, Andrew Davies, Nikhil Garg, Angela Gaylard, Robert Heilmayr, Hannah Kerner, Konstantin Klemmer, Vipin Kumar, Lester Mackey, Claire Monteleoni, Paul Moorcroft, Jonathan Palmer, Andrew Perrault, David Thau, Milind Tambe. 2023-07-17. Reflections from the Workshop on AI-Assisted Decision Making for Conservation. https://arxiv.org/abs/2307.08774

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