Glossary term
Glossary term
Governance and Compliance
The fact that the frequency with which people write about actions, outcomes, or properties is not a reflection of their real-world frequencies or the degree to which a property is characteristic of a class of individuals. Reporting bias can influence the composition of data that machine learning systems learn from.
For example, in books, the word laughed is more prevalent than breathed. A machine learning model that estimates the relative frequency of laughing and breathing from a book corpus would probably determine that laughing is more common than breathing.
See Fairness: Types of bias in Machine Learning Crash Course for more information.
For example, in books, the word laughed is more prevalent than breathed. A machine learning model that estimates the relative frequency of laughing and breathing from a book corpus would probably determine that laughing is more common than breathing.
See Fairness: Types of bias in Machine Learning Crash Course for more information.
Created for this library
A market research team flags reporting bias in voluntary survey data because dissatisfied customers tend to respond more often than satisfied ones.
A research lab documents reporting bias in customer feedback datasets so analysts interpret signals carefully.
A people-analytics team labels its engagement data with reporting bias warnings because participation correlates with sentiment.
Definition source: Google for Developers Machine Learning Glossary | Creative Commons Attribution 4.0 License