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AI Literacy Needs To Be For Everyone with Dr. Su Lin Blodgett

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Manage episode 407329735 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.

Dr Blodgett is a senior researcher in the Fairness, Accountability, Transparency, and Ethics in AI (FATE) group at Microsoft Research Montréal. She's broadly interested in examining the social and ethical implications of natural language processing technologies; she developed approaches for anticipating, measuring, and mitigating harms arising from language technologies, focusing on the complexities of language and language technologies in their social contexts, and on supporting NLP practitioners in their ethical work. Dr. Blodgett has also worked on using NLP approaches to examine language variation and change (computational sociolinguistics), for example developing models to identify language variation on social media.

Dr. Blodgett completed a Ph.D. in computer science at the University of Massachusetts Amherst working in the Statistical Social Language Analysis Lab under the guidance of Brendan O’Connor, where they were also supported by the NSF Graduate Research Fellowship. Dr. Blodgett received a B.A. in mathematics from Wellesley College. She interned at Microsoft Research New York in summer 2019, where she had the fortune of working with Solon Barocas, Hal Daumé III, and Hanna Wallach.

Ready to explore the research we discuss on this week's episode?

https://www.youtube.com/watch?v=lLlj2LZGfQc

https://www.researchgate.net/publication/371924250_Taxonomizing_and_Measuring_Representational_Harms_A_Look_at_Image_Tagging

-------------------------------------------------------

Join Kathleen and Tricia at CEESA's conference in Malta this March

Learn more:

https://www.ceesaconference.com/2024/

----------------------------------------------------------

For a transcript of this episode head to

https://unhingedcollaboration.com/

  continue reading

35 episodes

Artwork
iconShare
 
Manage episode 407329735 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.

Dr Blodgett is a senior researcher in the Fairness, Accountability, Transparency, and Ethics in AI (FATE) group at Microsoft Research Montréal. She's broadly interested in examining the social and ethical implications of natural language processing technologies; she developed approaches for anticipating, measuring, and mitigating harms arising from language technologies, focusing on the complexities of language and language technologies in their social contexts, and on supporting NLP practitioners in their ethical work. Dr. Blodgett has also worked on using NLP approaches to examine language variation and change (computational sociolinguistics), for example developing models to identify language variation on social media.

Dr. Blodgett completed a Ph.D. in computer science at the University of Massachusetts Amherst working in the Statistical Social Language Analysis Lab under the guidance of Brendan O’Connor, where they were also supported by the NSF Graduate Research Fellowship. Dr. Blodgett received a B.A. in mathematics from Wellesley College. She interned at Microsoft Research New York in summer 2019, where she had the fortune of working with Solon Barocas, Hal Daumé III, and Hanna Wallach.

Ready to explore the research we discuss on this week's episode?

https://www.youtube.com/watch?v=lLlj2LZGfQc

https://www.researchgate.net/publication/371924250_Taxonomizing_and_Measuring_Representational_Harms_A_Look_at_Image_Tagging

-------------------------------------------------------

Join Kathleen and Tricia at CEESA's conference in Malta this March

Learn more:

https://www.ceesaconference.com/2024/

----------------------------------------------------------

For a transcript of this episode head to

https://unhingedcollaboration.com/

  continue reading

35 episodes

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