Artificial intelligence/machine learning in Alaska Native healthcare systems: symposium perspectives
Vanessa Hiratsuka, Angelica Pritchard, Gretchen Day, Timothy Thomas, Kyle Wark, Aliassa Shane, Robert Onders, Tina Hernandez-Boussard, Brian Rice · 2026
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Description
Artificial intelligence is arriving in tribal healthcare, and a 2026 symposium report led by Vanessa Hiratsuka records how Alaska Native health leaders want it governed. The article summarizes a 2025 symposium in Anchorage where thirty-one stakeholders from the Alaska Tribal Health System and Stanford University discussed machine learning in care.
Small group sessions covered common applications, concerns, guiding policies, and how to build trust in these models. Participants stressed that development must follow Indigenous data sovereignty principles and serve community-defined benefits for Alaska Native people. They also distinguished quality improvement uses from research uses, and called for centralized expertise to guide future implementation across the system.
Catalog record
| CREATOR | Vanessa Hiratsuka, Angelica Pritchard, Gretchen Day, Timothy Thomas, Kyle Wark, Aliassa Shane, Robert Onders, Tina Hernandez-Boussard, Brian Rice |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 32 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |