"Prescriptive and Descriptive Approaches to Machine-Learning Transparency."

David Adkins et al. (2022)

> Home

Details and statistics

DOI: 10.1145/3491101.3519724

access: closed

type: Conference or Workshop Paper

metadata version: 2022-05-02

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/chi/AdkinsACKMMPSWZ22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/chi/AdkinsACKMMPSWZ22
David Adkins, Bilal Alsallakh, Adeel Cheema, Narine Kokhlikyan, Emily McReynolds, Pushkar Mishra, Chavez Procope, Jeremy Sawruk, Erin Wang, Polina Zvyagina:
Prescriptive and Descriptive Approaches to Machine-Learning Transparency. CHI Extended Abstracts 2022: 402:1-402:9

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.