Thursday 22 April 2021
Home      All news      Contact us      RSS     
Stanford - 2 month ago

Assessing regulatory fairness through machine learning

Applying machine learning to a U.S. Environmental Protection Agency initiative reveals how key design elements determine what communities bear the burden of pollution. The approach could help ensure fairness and accountability in machine learning used by government regulators.


Latest News
Hashtags:   

Assessing

 | 

regulatory

 | 

fairness

 | 

through

 | 

machine

 | 

learning

 | 

Sources