Tushar Chandra
Data Scientist / Chicago, IL

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Tag: chi2021

2021

2021-01-28 [Paper] Explaining Explainability: Towards Social Transparency in AI Systems reading club, chi2021
( Upol Ehsan, Q. Vera Liao, Michael Muller, Mark O. Riedl, Justin D. Weisz)

Categories

  • + books 25
  • + general 44
  • + papers 90
  • + projects 7
  • + self 5
  • + spark 34
  • + what-i-read 53

Recent Posts

  • [Paper] On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜 2021-02-11

  • Recurring Reading 2021-02-05

  • [Paper] Explaining Explainability: Towards Social Transparency in AI Systems 2021-01-28

  • [Paper] From Optimizing Engagement to Measuring Value 2021-01-21

  • More thoughts on 'Street-Level Algorithms' 2021-01-15

Tags

  • + #republic 5
  • + chi2019 3
  • + chi2020 20
  • + chi2021 1
  • + cscw2020 8
  • + facct2021 1
  • + fat2020 2
  • + iclr 2
  • + icwsm2020 5
  • + indistractable 2
  • + neurips 2
  • + password-tool 6
  • + reading-club 24
  • + recsys 1
  • + site 6
  • + www 3
© 2019 - 2020 Tushar Chandra

All opinions are my own.

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© 2019 - 2020 Tushar Chandra

All opinions are my own.

Powered by Hugo with a custom theme.