A Risk Management Process for Machine Learning Projects

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.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2020
Accession Number
AD1092640

Entities

People

  • Ben Cohen

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Computing-Related Activities
  • Data Science
  • Engineering
  • Environment
  • Information Science
  • Learning
  • Machine Learning
  • Risk
  • Risk Management
  • Scientists
  • Software Development
  • Statistics

Fields of Study

  • Computer science

Readers

  • Aviation Safety Risk Assessment.
  • STEM Education
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Neural Networks