Accession Number:

AD1092640

Title:

A Risk Management Process for Machine Learning Projects

Descriptive Note:

Technical Report

Corporate Author:

Carnegie-Mellon University, Software Engineering Institute Pittsburgh United States

Personal Author(s):

• Cohen,Ben

Report Date:

2020-01-01

Pagination or Media Count:

1.0

Abstract:

Many machine learning projects fail, underwhelm, or backfire. In the present work, I have identified three common risks in machine learning projects. To mitigate these risks, I describe a general risk management process that takes place before a project launches.

Descriptors:

• learning machines
• risk management
• problem solving
• computer programs
• cost
• decision making

Subject Categories:

• Administration and Management
• Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE