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.
@article{arxiv.2307.08774,
title = {Reflections from the Workshop on AI-Assisted Decision Making for Conservation},
author = {Lily Xu and Esther Rolf and Sara Beery and Joseph R. Bennett and Tanya Berger-Wolf and Tanya Birch and Elizabeth Bondi-Kelly and Justin Brashares and Melissa Chapman and Anthony Corso and Andrew Davies and Nikhil Garg and Angela Gaylard and Robert Heilmayr and Hannah Kerner and Konstantin Klemmer and Vipin Kumar and Lester Mackey and Claire Monteleoni and Paul Moorcroft and Jonathan Palmer and Andrew Perrault and David Thau and Milind Tambe},
journal= {arXiv preprint arXiv:2307.08774},
year = {2023}
}
Comments
Co-authored by participants from the October 2022 workshop: https://crcs.seas.harvard.edu/conservation-workshop