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):

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.

Subject Categories:

  • Administration and Management
  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE