An Exploration of How the Military Intelligence Community May Mitigate Unintended Bias Within Machine Learning Systems
Abstract
As the military modernizes with Artificial Intelligence/Machine Learning systems, the personnel in the military intelligence community will need to fully understand and integrate these systems into the Joint Intelligence Process (JIP). To guide the force in the development and integration of this technology, the Department of Defense (DOD) publicly released the "DOD Adopts Ethical Principles for Artificial Intelligence," which included "equitable" as a principle to mitigate "unintended bias." While there are multiple technical best practices to mitigate unintended bias, there are also nontechnical best practices that the military intelligence community could adopt from commercial industry. This qualitative, multiple case study and cross-case synthesis explores these commercial industry nontechnical best practices to mitigate unintended bias in the JIP.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 10, 2022
- Accession Number
- AD1209892
Entities
People
- Bethany Bashor
Organizations
- United States Army Command and General Staff College