AI · Contextual inquiry and survey.
Interpreting interpretability: Understanding data scientists’ use of interpretability tools
CHI. · 2020
Summary
Practitioners use explanations for debugging, validation, and communication but face usability challenges.
For your marketing
Possible founder application
Design XAI around concrete workflow jobs.
Reported result
What the study found
Practitioners use explanations for debugging, validation, and communication but face usability challenges.
Research question
What the authors investigated
How do data scientists use interpretability tools?
Design
Contextual inquiry and survey.
Sample and setting
Data scientists using interpretability tools.
Scope and transfer
Limitations to keep in view
Self-report and fast-changing tools.
Research sources
Publisher abstract/full text supports the reported design, sample, and findings.