AI for National Security

The final report of the National Security Commission on Artificial Intelligence (NSCAI) realistically assesses the current state of AI and the investment required for the United States to maintain technology leadership, especially when safeguarding against shifting, increasingly malign threats. 

Booz Allen experts weigh in on AI leadership from the health, public, and overall government perspective.

Intelligence organizations can use AI to enhance process efficiency and productivity for improved insights that strengthen national security. Here are a few examples.

• Automate mundane processes and increase intelligence throughput
  Organizations can use AI to automate a large portion of the time- and resource-intensive intelligence analysis process, achieving the scale needed for processing and enabling analysts to focus on the challenging problems AI is not yet able to solve.
• Allow analysts to derive value from previously inaccessible information
  With AI, organizations can process the vastly increasing volume of multi-INT data in near-real time to detect patterns and anomalies, identify content that requires further processing, and discover insights never before possible.
• Support fusion across data sources and types to allow for richer insights
  By applying AI technologies such as natural language processing (NLP), analysts can review a broad range of data sources, rapidly develop summaries and correlations, and deliver unprecedented insights.
• Continue to advance AI to augment the intelligence analyst
  Sophisticated algorithms currently in development will expand the uses of AI and provide significant near-term value to the IC with minimal customization. Examples include NLP, language translation, object detection, and automated data tagging.