The Quiet Tax on Machine Learning Teams
In short
A new study reveals a "quiet tax" on machine learning teams, where lack of transparency in model development and testing can hinder understanding and validation, reducing trust and adoption. The study suggests improving transparency could enhance trust and wider acceptance of machine learning technology.
Key points
- The "quiet tax" on machine learning teams is a lack of transparency in model development…: The "quiet tax" on machine learning teams is a lack of transparency in model development and testing.
- The study suggests more transparency could improve trust and wider acceptance of machine…: The study suggests more transparency could improve trust and wider acceptance of machine learning technology.
- Lack of transparency can hinder understanding and validation of models, reducing trust an…: Lack of transparency can hinder understanding and validation of models, reducing trust and adoption.