No abstract

Human-AI teaming refers to systems in which humans and artificial intelligence (AI) agents collaborate to provide significant mission performance improvements over that which humans or AI can achieve alone. The goal is faster and more accurate decision-making by integrating the rapid data ingest, learning, and analyses capabilities of AI with the creative problem solving and abstraction capabilities of humans. The purpose of this panel is to discuss research directions in Trust Engineering for building appropriate bi-directional trust between humans and AI. Discussions focus on the challenges in systems that are increasingly complex and work within imperfect information environments. Panelists provide their perspectives on addressing these challenges through concepts such as dynamic relationship management, adaptive systems, co-discovery learning, and algorithmic transparency. Mission scenarios in command and control (C2), piloting, cybersecurity, and criminal intelligence analysis demonstrate the importance of bi-directional trust in human-AI teams.

No abstract

Network centric warfare (NCW) is a concept of operations that seeks to increase combat power by linking battlespace entities to effectively leverage information superiority. The Department of Defense (DoD) has recognized that a lack of understanding of human decision making relevant to NCW is a significant barrier limiting potential benefits. To this end, this report identifies ten human supervisory control challenges that could significantly impact operator performance in NCW: Information overload, appropriate levels of automation, adaptive automation, distributed decision-making through team coordination, complexity measures, decision biases, attention allocation, supervisory monitoring of operators, trust and reliability, and accountability. Network-centric operations will bring increases in the number of information sources, volume of information, and operational tempo with significant uncertainty, all which will place higher cognitive demands on operators. Thus it is critical that NCW research focus not only on technological innovations, but also the strengths and limitations of human-automation interaction in a complex system.

No abstract