Glossary

After deployment:

[ ] Am I monitoring the model's performance over time, including subgroup performance? - [ ] Is there a feedback mechanism for people to report problems? - [ ] Is there a plan to retrain or retire the model if it becomes harmful?

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Intro to Data Science — Chapter 32: Ethics in Data Science: Bias, Privacy, Consent, and Responsible Practice
Intro to Data Science — Key Takeaways: Ethics in Data Science: Bias, Privacy, Consent, and Responsible Practice

Related Terms

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