Intelligent Human-Machine Systems
ADVANCING INTELLIGENT HUMAN-MACHINE SYSTEMS
The Intelligent Human Machine Systems (IHMS) division combines expertise from AI/ML, natural language processing/computational linguistics, engineering, social, biological, computer, and physical sciences. The interdisciplinary approach embodied by IHMS centers research and development around developing technologies and methodologies that enhance decision-making, optimize human performance, and enable effective teaming between humans and intelligent systems in complex, high-stakes environments.
Capabilities
Apply information and data science to address critical government applications, facilitating data-driven decision-making.
Contribute to the design and development of AI, creating effective human-machine teams and augmenting analyst and operator performance.
Lead research in human performance and readiness, optimizing training and operational effectiveness, ensuring that personnel are prepared for the challenges they face.
Develop, verify and validate AI, machine learning, and other innovative technologies applied to intelligence and security missions.
Mission Areas
Command & Control, Intelligence, Surveillance & Reconnaissance (C2ISR)
The C2ISR Mission Area is developing, testing, and evaluating artificial intelligence and machine learning systems that perform reliably under uncertainty. Using human-systems integration best practices, the division is advancing AI Assurance across programs that enhance situation awareness and decision making. This Mission Area is a leader in the development of methods for AI assurance, mission engineering, and system observability, helping programs understand how operators use digital systems and where risks may emerge. These insights support safer AI/ML deployment, stronger human-machine teaming, and better-informed technology investments.
Human Performance & Readiness Augmentation (HPRA)
The HPRA Mission Area develops human-centered, AI/ML based tools and methods to improve analyst and operator performance, learning, sense-making, and decision-making across defense and intelligence missions. Its work draws on cognitive science, human-machine teaming, physiology, neurotechnology, psychology, AI/ML and systems engineering to support warfighter readiness and performance. ARLIS applies this expertise to human-autonomy interaction, cognitive state detection, performance assessment, and simulation testing. The team develops models, tools, experiments, and testbeds to better understand how humans and autonomous systems can work together effectively in demanding mission environments.