  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.
