What is Really Different in Engineering AI-Enabled Systems?

Abstract

Agenda. CMU and SEI Overview. National Agenda for Software Engineering. Foundational selected AI practices. Characterizing and detecting mismatch in ML-enabled systems. Software architecture for ML-enabled systems. Role of MLOps in continuous monitoring and evolution of ML-enabled systems. Misconceptions for AI systems. What can we do today?

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2021
Accession Number
AD1155001

Entities

People

  • Ipek Ozkaya

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • C4I
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Adaptive Systems
  • Agile Software Development
  • Artificial Intelligence
  • Computer Science
  • Data Sets
  • Department Of Defense
  • Deployment
  • Engineering
  • Information Processing
  • Information Systems
  • Machine Learning
  • Materials
  • Retraining
  • Social Sciences
  • Software Design
  • Software Development
  • Technical Debt
  • Training
  • Universities

Fields of Study

  • Computer science
  • Engineering

Readers

  • Software Engineering.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy