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Making AI Systems More Just with Arjun Subramonian

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Manage episode 407329737 series 3559466
Content provided by Tricia Friedman and Unhinged Collaboration. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tricia Friedman and Unhinged Collaboration or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Arjun Subramonian is a Computer Science PhD student at UCLA with Prof. Yizhou Sun and Prof. Kai-Wei Chang. My research focuses on inclusive graph machine learning and natural language processing, including fairness, justice, and ethics.

Ready to learn more about them?

Check out more links about Arjun's work

Twitter: @arjunsubgraph

Queer in AI paper

Queer in AI National AI Advisory Committee briefing

Also mentioned at the beginning of the episode learn more about AIELOC's upcoming event:

https://aieloc.org/conference/

  continue reading

35 episodes

Artwork
iconShare
 
Manage episode 407329737 series 3559466
Content provided by Tricia Friedman and Unhinged Collaboration. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tricia Friedman and Unhinged Collaboration or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Arjun Subramonian is a Computer Science PhD student at UCLA with Prof. Yizhou Sun and Prof. Kai-Wei Chang. My research focuses on inclusive graph machine learning and natural language processing, including fairness, justice, and ethics.

Ready to learn more about them?

Check out more links about Arjun's work

Twitter: @arjunsubgraph

Queer in AI paper

Queer in AI National AI Advisory Committee briefing

Also mentioned at the beginning of the episode learn more about AIELOC's upcoming event:

https://aieloc.org/conference/

  continue reading

35 episodes

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