Intelligent Human-Machine Systems
The Intelligent Human Machine Systems (IHMS) Division combines expertise from engineering, social, biological, computer, and physical sciences along with government and policy knowledge. The interdisciplinary approach embodied by IHMS centers research and development around people’s needs, capabilities, and experience, supporting technology development and science in rapidly evolving environments.
Capabilities
Harnessing AI for language processing, enhancing communication and intelligence capabilities to enable more efficient data analysis and interpretation, vital for timely decision-making. Applying information and data science to address critical government applications, facilitating data-driven decision-making.
Contributing to the design and development of artificial intelligence, focusing on creating effective human-machine teams. Modeling and simulating human-machine systems and teams for predicting interactions and improving system designs to enhance human performance.
Leading research in human performance and readiness, optimizing training and operational effectiveness, ensuring that personnel are prepared for the challenges they face. Evaluating human performance, behavior, and learning, identifying areas for augmentation to optimize training programs and improve overall effectiveness.
Developing standards and metrics to evaluate the ethical, legal, and social implications (ELSI) of AI policy, ensuring that AI technologies are deployed responsibly and align with national values and security objectives.
Verifying and validating artificial intelligence, machine learning, and other innovative technologies applied to intelligence and security missions, including test and evaluation at multiple levels (e.g., assessing AI behavior in isolation and as it contributes to an autonomous system).