Earth Friendly Computation: Applying Indigenous Data Lifecycles in Medical and Sovereign AI
Pacific Symposium on Biocomputing 2025
January 4-8, 2025
Big Island of Hawai'i
Motivation
The rapid expansion of artificial intelligence (AI) across fields - particularly with the advent of powerful Large Language Models (LLMs) and the application of AI in human health - is generating vast quantities of data, consuming massive amounts of energy, and leaving behind significant environmental footprints. This growth poses a potential risk of exacerbating the climate crisis, which may, in turn, have major downstream impacts on global health.
This session will focus on the innovative integration of Indigenous data lifecycle models that respect the principles of data as a sacred entity and relation, with the growing field of medical AI, particularly in precision medicine and public health. We aim to foster a dialogue on how computational methods, rooted in Indigenous wisdom, can not only enhance the accuracy and fairness of AI in healthcare and other fields but also promote the conservation of environmental resources in computational practices.
Session Topics
We invite submissions that address contemporary challenges in medical and sovereign artificial intelligence through technologies, policies, and practices aligned with Indigenous principles and an earth-friendly approach to AI:
- Data sovereignty and Indigenous data lifecycles
- AI and machine learning methods for precision health and medicine, especially in underrepresented populations
- Sovereign AI, Indigenous AI initiatives, and nation-scale AI for human health
- Highlighting and addressing the climate impacts of AI through policy, technological solutions, and conscious behavioral change
- The role, risks, and potential outcomes associated with increased use of AI in healthcare, genomics, and society
- Big data and data management practices
Session Organizers
Keolu Fox, Ph.D.
University of California, San Diego and J. Craig Venter Institute
pkfox (at) ucsd.edu
Kystal Tsosie, PhD, MPH, MA
Arizona State University
ktsosie (at) asu.edu
Kaja Wasik, PhD
J. Craig Venter Institute
Alec Calac, BS, MD/PhD Candidate
University of California, San Diego and J. Craig Venter Institute
acalac (at) health.ucsd.edu
Alexander Ioannidis, PhD
University of California, Santa Cruz and Stanford University
Eric T. Dawson, PhD
NVIDIA
edawson (at) nvidia.com
Key Dates
| Paper Submission Deadline | August 1, 2024 |
| Notification of Acceptances | September 9, 2024 |
| Revised Papers Due | October 1, 2024 |
| Poster/Abstract Submission Deadline | December 2, 2024 |
| PSB 2025 | January 4-8, 2025 |
Submission and More Information
See full details about how to submit a paper, poster, or abstract at https://psb.stanford.edu/callfor/papers/.
For more information, contact Dr. Keolu Fox.