RAAINS Archives-2022

Target Audience

The target audience is national security professionals interested in understanding the state of AI research and development as well as expert practitioners interested in applying and transitioning the latest AI techniques and technologies.


National Security Applications

Intelligence, surveillance, and reconnaissance; cyber; electronic warfare; counter-influence operations; homeland protection; bio-security; and life sciences


Key Areas of AI

Deep learning, graph-based learning, data and graph analytics, adversarial and counter AI, human–machine teaming, autonomy, edge AI, Influence Operations, video analytics, AI for autonomy


Workshop Objectives

AI workshops, conferences, and publications over the past several years have served to raise awareness of the challenges, responsibilities, opportunities, and concerns in applying AI to national defense. The RAAINS Workshop series extends this conversation by focusing at a deeper technical level on the recent state of the art in key areas of AI, recent advances applied to national security, and future directions in AI that are of specific interest to the DoD and the intelligence community. The RAAINS workshop showcases the significant progress in applying AI and provides a glimpse into exciting future directions that promise to have a profound impact on national security.


Workshop Themes

  • AI Engineering/AI for Modeling Real Systems
  • AI/ML Incubation and Transition
  • AI Ethics and Trust
  • Human–Machine Teaming
  • Mis/Dis/Mal-Information
  • University Perspectives on AI Research
  • AI Assurance
  • AI at the Tactical Edge
  • Mission Applications for AI

AI Courses

The courses will cover topics in AI Ethics, Robust AI, Autonomy, CyberAI, and Human–Machine Teaming. We encourage you to take advantage of this opportunity to refresh your understanding of introductory-level AI and to learn about some more recent applications of AI to national security domains. Courses are open to all interested registrants from 8–10 November.