Preventing AI Extractivism: The Case for Braiding Indigenous Data Justice with ABS for Stronger AI Data Governance

Research output: Contribution to journal › Article › Scientific › peer-review

Original language	English
Journal	AI & Society: Knowledge, Culture and Communication - Springer Nature
Publication status	Accepted/In press - 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

@article{cb6c6d8bbbdf412d9a9e21386de98cdb,

title = "Preventing AI Extractivism: The Case for Braiding Indigenous Data Justice with ABS for Stronger AI Data Governance",

author = "Maria Schulz and Jordan Loewen-Col{\'o}n",

year = "2026",

language = "English",

journal = "AI \& Society: Knowledge, Culture and Communication - Springer Nature",

issn = "1435-5655",

publisher = "Springer London",

}

TY - JOUR

T1 - Preventing AI Extractivism: The Case for Braiding Indigenous Data Justice with ABS for Stronger AI Data Governance

AU - Schulz, Maria

AU - Loewen-Colón, Jordan

PY - 2026

Y1 - 2026

M3 - Article

SN - 1435-5655

JO - AI & Society: Knowledge, Culture and Communication - Springer Nature

JF - AI & Society: Knowledge, Culture and Communication - Springer Nature

ER -