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Description

Machine learning (ML) systems are rapidly increasing in size, are acquiring new capabilities, and are increasingly deployed in high-stakes settings. To address the growing need for safe ML systems, I first discuss works towards making systems perform reliably. Thereafter I discuss works towards making systems act in accordance with human values. In closing I discuss open problems in making ML systems safer.

Details

Title
Machine Learning Safety
Creator
Hendrycks, Daniel, Author
Published
EECS Department, University of California at Berkeley, Berkeley, California, 5/13/2022
Full Collection Name
Electrical Engineering & Computer Sciences Technical Reports
Type
Text
Format
technical reports
Extent
172 p
Language
eng
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