AI engineering glossary · AI ethics law product
What is data flywheel?
Data flywheel: A self-reinforcing loop in which a product's use generates data that improves the model, which improves the product, which attracts more use and more data. Realising it requires consent, data quality controls and evaluation to avoid feeding back errors.
Data flywheel: an example
A recipe app logs which suggestions people cook and rate highly, uses that to improve its recommendations, and gains more users as a result.
Related terms
More AI ethics law product terms
- Data minimization
- Data Principal
- Data processor
- Data Protection Board of India
- Data protection impact assessment
- Data provenance
- Data residency
- Data subject
Where you learn it
Data flywheel is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.