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This is Indigenous in AI's inaugural event!
Indigenous In AI’s vision is to build an international community of Native, Aboriginal, and First Nations who will collectively transform their home communities with advanced technology. By elevating the voices of Indigenous ML researchers we will inspire future impactful work and break stereotypes. Additionally, this group will strive to educate the broader NeurIPS on contemporary indigenous issues relevant to information technology and practices.
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Thu 12:00 p.m. - 12:10 p.m.
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Welcome to Indigenous In AI!
(Introduction by Moderator)
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Michael Running Wolf 🔗 |
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Thu 12:10 p.m. - 12:40 p.m.
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Indigenous ASR - recognising more than speech
(Keynote)
SlidesLive Video » Speech recognition technologies are rapidly evolving and improving, but the technologies only work for mainstream languages. One primary challenge for indigenous communities wanting to use these tools is obtaining enough digitised, labeled data. We demonstrate how Te Hiku Media overcame this barrier by collecting more than 300 hours of labeled speech corpus in just 10 days. This enabled us to build the first automatic speech recogniser (ASR) for te reo Māori using DeepSpeech. We now use ASR to accelerate the transcription of native speaker archives. Our journey is one of community, trust, and sovereignty. |
Keoni Mahelona · Peter-Lucas K Jones 🔗 |
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Thu 12:40 p.m. - 12:50 p.m.
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Keynote QA
(QA)
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Michael Running Wolf 🔗 |
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Thu 12:50 p.m. - 1:20 p.m.
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Indigenous Data Sovereignty Breakout
(Breakout room session in Zoom)
A guided small group discussion led by Caroline Running Wolf |
Caroline Running Wolf 🔗 |
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Thu 1:20 p.m. - 1:50 p.m.
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Indigenous Technological Sovereignty
(Closing Talk)
SlidesLive Video » How do we think of Indigenous presence in Artificial Intelligence research, development and deployment beyond concepts of equity, diversity and inclusion? These issues of representation are important, but of equal importance is understanding how Indigenous knowledge frameworks can contribute important insights into how to design, build and use AI systems so that they are better able to contribute to the flourishing of all our relations—human and non-human. This talk will build on work related to the Indigenous Protocol and Artificial Intelligence Workshops to highlight what might be possible once Indigenous designers are in charge of creating AI. |
Jason Lewis 🔗 |
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Thu 1:50 p.m. - 2:00 p.m.
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Closing Talk QA
(QA)
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Michael Running Wolf 🔗 |
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Thu 2:00 p.m. - 2:10 p.m.
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Closing Announcements
(Closing Announcements and Event QA)
Discuss 2021 |
Michael Running Wolf 🔗 |
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Thu 2:10 p.m. - 3:00 p.m.
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Virtual Social Gathering
(Open zoom call between members)
Open zoom call for attendees to chat. |
Shawn Tsosie · Caleb Moses 🔗 |
Author Information
Michael Running Wolf (Indigenous in AI)
Working in industry on Big Data and Indigenous Machine Learning projects.
Shawn Tsosie (UC Santa Cruz)
Caleb Moses (Dragon Fly)
Caroline Running Wolf (UBC)
Caroline Running Wolf, nee Old Coyote, is an enrolled member of the Apsáalooke Nation (Crow) in Montana, with a Swabian (German) mother and also Pikuni, Oglala, and Ho-Chunk heritage. Thanks to her genuine interest in people and their stories she is a multilingual Cultural Acclimation Artist dedicated to supporting Indigenous language and culture vitality. Together with her husband, Michael Running Wolf, they create virtual and augmented reality experiences to advocate for Native American voices, languages and cultures. Caroline has a Master’s degree in Native American Studies from Montana State University in Bozeman, Montana. She is currently pursuing her PhD at the University of British Columbia in Vancouver, Canada.
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2022 : Closing »
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2022 : The Lakota AI Code Camp »
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2021 : Data Sovereignty for Native Communities »
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2020 : Virtual Social Gathering »
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2020 : Closing Announcements »
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2020 : Closing Talk QA »
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2020 : Indigenous Data Sovereignty Breakout »
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2020 : Keynote QA »
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2020 : Welcome to Indigenous In AI! »
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2019 : Sacred Waveforms: An Indigenous Perspective on the Ethics of Collecting and Usage of Spiritual Data for Machine Learning »
Michael Running Wolf · Caroline Running Wolf