Michael Running Wolf
Michael Running Wolf is an AI researcher who develops language tools with Indigenous communities. By 2019, he held an M.S. in computer science and wrote about machine learning’s growing accessibility for Indigenous nations. He co-authored the 2020 Indigenous Protocols and Artificial Intelligence Position Paper, helped develop speech recognition at Northeastern, and helped launch the Lakota AI Code Camp. He researched Indigenous language AI at SynthBee in 2025 and now leads First Languages AI Reality as its co-founder and lead architect; he was a 2024–25 Tech for Global Good Laureate.
Timeline
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By 2019
An M.S. and an AI essay
Raised in a rural Montana village with intermittent water and electricity, he has an M.S. in computer science by February 2019. In his February 2019 essay, he describes machine learning’s growing accessibility for Indigenous nations and how facial-recognition software can monitor environmental activists protecting sacred lands.
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2020
An Indigenous AI position paper
He co-authors the 2020 Indigenous Protocols and Artificial Intelligence Position Paper, published by Concordia University.
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May 2021
Hua Ki‘i object-recognition app
In May 2021, he joins four Indigenous scholars to present the Hua Ki‘i app prototype, which uses object recognition to translate images into Indigenous languages, starting with Hawaiian.
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2021
Speech recognition at Northeastern
As a clinical instructor at Northeastern’s Khoury College of Computer Sciences, he works with a team on automatic speech recognition for Indigenous languages. In October 2021, their system recognizes single, simple words from some languages using hundreds of hours of tribal audio.
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2022
The Lakota AI Code Camp
In July 2022, he helps organize the inaugural Lakota AI Code Camp at Black Hills State University. Lakota high-school students learn computer science, AI and machine learning, then build an augmented-reality app that identifies everyday objects and displays their Lakota names.
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2024–2025
SynthBee researcher and laureate
In November 2025, he is an AI researcher at SynthBee, focusing on endangered Indigenous languages. He is a 2024–25 Tech for Global Good Laureate.
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March–April 2026
An AI prototype for four communities
In March–April 2026, his team works with four communities in B.C., the Northwest Territories, Washington state and Brazil to prepare an AI prototype for community evaluation. Its long-term plan immerses users in their language alongside a cultural event, such as a canoe trip.
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As of October 2026
Lead architect of FLAIR
He is co-founder and lead architect of First Languages AI Reality, which uses AI to reclaim Indigenous languages. In June 2026, he joins a Federal Reserve Bank of Minneapolis panel titled ‘AI on Indigenous Terms: Considerations for Indian Country.’
Career
- NowFirst Languages AI RealityCo-founder and lead architect
- 2022Northeastern UniversityClinical instructor
- SynthBeeAI researcher
Most-cited works
- Indigenous Protocol and Artificial Intelligence Position PaperWith Peter-Lucas Jones
- Privacy, Safety and Wellbeing: Solutions for the Future of AR and VR
- Reigniting the Many Voices of a Communal Bison Hunt in Virtual Reality
- Playfully revitalizing languages and traditional knowledge through collaboration
- Keynote: "Prospects and Pitfalls in using Artificial Intelligence (AI) for language revitalization" (Part 1)
Sources and credits
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- What does the future look like for AI?
- Indigenous Protocols and Artificial Intelligence Position Paper
- Hua Ki‘i: A Prototype for Developing Ethical Indigenous AI
- Protecting Indigenous Languages Using Automatic Speech Recognition
- INDIGENOUS IN AI — LAKOTA LANGUAGE CAMP
- Native American Heritage Month in Computing
- Indigenous AI Gathering 2026: Meet the Speakers
- AI can help protect threatened languages — but it can also exploit them
- Sovereignty in Numbers: The 2026 Center for Indian Country Development Data Summit

