A RISK MANAGEMENT PERSPECTIVE FOR AI ENGINEERING

Abstract

Adopting artificial intelligence (AI) technology in an organization represents significant change. And when implementing any significant change, the organization will likely encounter risk. Fortunately, risk can be controlled to limit the potential impact to the organization. OCTAVE FORTE is a process model that organizations can use to identify and mitigate risks. Its steps include establishing risk governance, appetite, and policy; identifying risks, threats, and vulnerabilities; and forming and implementing an improvement plan. This paper focuses on a few of these steps in the context of adopting AI technology. These steps pro-vide a starting point for organizations investigating the adoption of AI and exploring the associated risks.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2020
Accession Number
AD1110336

Entities

People

  • Brett Tucker

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Cyber
  • Engineered Resilient Systems
  • Human Systems
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Agile Software Development
  • Appetite
  • Artificial Intelligence
  • Engineering
  • Governments
  • Information Security
  • Materials
  • Neural Networks
  • Reliability
  • Resilience
  • Risk
  • Risk Analysis
  • Risk Management
  • Software Development
  • Supply Chain
  • Vulnerability

Readers

  • Cybersecurity.
  • Distributed Systems and Data Platform Development
  • Organizational Process Management (OPM).

Technology Areas

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