Explainable Artificial Intelligence (XAI)*
Abstract
*Previously Understanding Machine Intelligence (UMI) The Explainable Artificial Intelligence (XAI) program is developing a new generation of machine learning techniques that are able to produce a rationale to explain the conclusions they reach. If current trends continue, future U.S. military autonomous systems will need to perform increasingly complex and sensitive missions, and AI will be critical to such systems. However, in order for developers, users, and senior leaders to feel confident enough to deploy and use AI-enabled systems, these systems must be able to explain their rationale, and their recommendations, decisions, and actions must be delivered in a way that military users can understand and trust. Today most machine learning systems provide no explanations or provide explanations that are too detailed, at the wrong level of abstraction, or not meaningful to a human user. XAI will develop the tools necessary to build explainable AI systems, in particular (1) new machine learning techniques that produce human-interpretable models and (2) user interfaces that generate explanations from those models meaningful to end-users. XAI implementations will be developed and demonstrated in next-generation autonomous and decision-support systems.
Document Details
- Document Type
- Accomplishment
- Publication Date
- Oct 01, 2018
- Source ID
- 909875c61cc521521ae772dcd23dfff9