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

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arxiv 2307.08774 v1 pith:AWFIDDYJ submitted 2023-07-17 cs.AI

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

classification cs.AI
keywords conservationworkshopai-assistedchallengesdecisiondiscussionsmakingrequire
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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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