A Risk Management Process for Machine Learning Projects

reportActive / Technical Report | Accession Number: AD1092640 | Open PDF

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.

Author(s):
Cohen, Ben
Author Organization(s):
Carnegie-Mellon University, Software Engineering Institute Pittsburgh United States
Descriptive Note:
Technical Report
Pagination:
0001

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release
Distribution Statement:
Approved For Public Release;

RECORD

Collection: TR
Identifying Numbers
Report Number(s):
DM20-0125
Contract/Grant Number(s):
FA8702-15-D-0002
 Subject Terms
Modernization Areas:
Autonomy
Communities of Interest:
Autonomy
Descriptor(s):
learning machines, risk management, problem solving, computer programs, cost, decision making
Field(s)/Group(s):
Administration and Management, Cybernetics
Report Date:
2020 Jan 01
Creation Date:
2020 Mar 18