This bridge addresses the grand challenge of developing AI systems that are ecologically grounded, culturally aware, and robustly generalizable across species, ecosystems, and deployment conditions. By convening AI researchers, ecologists, Indigenous knowledge holders, and conservation practitioners, the bridge aims to catalyze a sustained interdisciplinary community. Through tutorials, case studies, and panels, we will explore open research questions, highlight successes and failures, and co-develop roadmaps for ethically grounded, field-ready, and scalable solutions to biodiversity loss and environmental change.
Topics
Core technical advances in AI for conservation; case studies in species re-identification, movement ecology, invasive species control, and habitat monitoring; cultural and ethical dimensions of deploying AI in conservation; benchmarks, datasets, and evaluation frameworks; vision-building toward a shared research roadmap.
Submission Requirements for Workshop Session
We invite submissions of 2–4 page position papers or abstracts (excluding references) describing relevant research, case studies, or ongoing work. Submissions should highlight both technical contributions and real-world conservation applications. Please also include a short list of relevant publications, if applicable.
Submission Site Information
Please send submissions via https://openreview.net/group?id=AAAI.org/2026/Bridge/AIWildlife.
Important Dates
Submissions due to organizers: Friday, October 31, 2025
Notification of acceptance: Friday, November 14, 2025
Event: January 20-21, 2026
Formats:
Extended Abstracts: 2-4 pages (excluding references).
Accepted papers will not be considered for proceedings.
AAAI style template: https://aaai.org/conference/aaai/aaai-26/
Submission Policy:
Submissions will undergo a double-blind peer review process by multiple reviewers.
At least one author of each submission is expected to serve as a reviewer.