mlsanityData to 14 Oct 2026

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

arXiv 2307.08774 ↗First posted 17 Jul 2023cs.AIcited by 2

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 31 of its 161 references that are in the map. First posted on arXiv 17 Jul 2023.

Builds on

31 of 161 references.

References · 31

  1. 2018Datasheets for Datasetscited by 1,386
  2. 2020WILDS: A Benchmark of in-the-Wild Distribution Shiftscited by 1,375
  3. 2018Recognition in Terra Incognitacited by 658
  4. 2019Green AIcited by 627
  5. 2017A Brief Survey of Deep Reinforcement Learningcited by 483
  6. 2019Towards Physics-informed Deep Learning for Turbulent Flow Predictioncited by 204
  7. 2017No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing Worldcited by 153
  8. 2021Seeing biodiversity: perspectives in machine learning for wildlife conservationcited by 130
  9. 2023Lightweight, Pre-trained Transformers for Remote Sensing Timeseriescited by 103
  10. 2020A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagerycited by 88
  11. 2017Online algorithms for POMDPs with continuous state, action, and observation spacescited by 84
  12. 2020A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systemscited by 71
19 more
  1. 2019A deep active learning system for species identification and counting in camera trap imagescited by 44
  2. 2021Role of Human-AI Interaction in Selective Predictioncited by 35
  3. 2021Envisioning Communities: A Participatory Approach Towards AI for Social Goodcited by 30
  4. 2020ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flowscited by 25
  5. 2022Bugs in the Data: How ImageNet Misrepresents Biodiversitycited by 24
  6. 2021Iterative Human and Automated Identification of Wildlife Imagescited by 22
  7. 2017Fine-Grained Object Recognition and Zero-Shot Learning in Remote Sensing Imagerycited by 17
  8. 2022ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagerycited by 16
  9. 2020Dual-Mandate Patrols: Multi-Armed Bandits for Green Securitycited by 14
  10. 2021SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Losscited by 13
  11. 2021Robust Reinforcement Learning Under Minimax Regret for Green Securitycited by 12
  12. 2019Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluationscited by 11
  13. 2023Evaluation Challenges for Geospatial MLcited by 10
  14. 2021ElephantBook: A Semi-Automated Human-in-the-Loop System for Elephant Re-Identificationcited by 8
  15. 2022Resolving label uncertainty with implicit posterior modelscited by 8
  16. 2022Segmenting across places: The need for fair transfer learning with satellite imagerycited by 6
  17. 2021Deep Reinforcement Learning for Conservation Decisionscited by 5
  18. 2022A Review of Landcover Classification with Very-High Resolution Remotely Sensed Optical Images-Analysis Unit,Model Scalability and Transferabilitycited by 4
  19. 2022Ranked Prioritization of Groups in Combinatorial Bandit Allocationcited by 3

Built on by

Cited by year

Citing papers per year: 2023: 1; 2024: 0; 2025: 1.

2 papers.

  1. 2023A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcingcited by 6
  2. 2025Inteligencia Artificial para la conservaci'on y uso sostenible de la biodiversidad, una visi'on desde Colombia (Artificial Intelligence for conservation and sustainable use of biodiversity, a view from Colombia)cited by 0