Summaries - Office of Research & Innovation
Back Human-Machine Weapons Engagement Decisions: Systems Safety in Complex Decision Environments
|Division||Research & Sponsored Programs|
|Department||NPS Naval Research Program|
Miller, Scot M.
Johnson, Bonnie W.
|Sponsor||Office of the Chief of Naval Operations (Navy)|
|Summary||This project will study system safety requirements regarding the deployment of artificial intelligence (AI) for tactical decision and mission planning aids supporting complex human-machine decisions. Advances in computational technologies and AI methods present new opportunities for developing automated tactical decision aids to support warfighters making weapons engagement decisions. Tactical decisions become increasing complex and can overwhelm human decision-making as threats increase in number, speed, diversity and lethality. It is critical to ensure that the deployment of such AI-enabled decision aids considers system safety. The study will explore the cognitive strengths of humans and machines to identify effective teaming arrangements in a variety of tactical environments of increasing complexity. This study will investigate system safety risks to develop concepts, requirements, and methods that ensure that future automated tactical decision and mission planning aids are safely deployed. Research questions include: What are the safety risks related to the deployment of AI systems that support future automated tactical decision and mission planning aids? Can AI-enabled automated decision aids support system safety analysis in a way that characterizes the cognitive strengths of humans and machines? What concepts, requirements, and methods can ensure that future automated military decision aids are safely deployed? NPS proposes a model-based systems engineering (MBSE) method to develop safety requirements for integrating automated decision aids into weapons engagement and mission planning decisions. The MBSE method will capture and analyze requirements, functional models of weapons engagements, and conceptual architectures for human-machine teaming arrangements. The study will include a multi-disciplinary team of NPS researchers and will offer educational and research opportunities for NPS students. Research deliverables will include a project report and presentation that contain MBSE artifacts, conceptual models, and safety requirements.|
|Keywords||artificial intelligence safety machine learning human-machine teaming automated decision aids weapons engagements mission planning|
|Publications||Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal|
|Data||Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal|