On August 14, the U.S. Army Research Lab issued a synopsis for the Collective Judgment Formation (CJF) Collaborative Research Alliance (CRA) program. A proposers’ day will take place on September 4.
The CJF CRA program is focused on basic research to create and expand theoretical and scientific understanding of human-agent interactions in AI-supported team decision making. The representative domain for the program is intelligence activities. Work within this program will require the problem space to be addressed from multiple disciplinary perspectives working in concert to discover novel knowledge and to advance our scientific foundations of (a) humans working with each other and with novel forms of software agents and (b) teams of intelligence analysts responding to novel methods that create verbose structured and unstructured content. Through this CRA, ARL seeks to partner with performers to advance the scientific state-of-the-art in human-agent systems for intelligence activities.
The Army, and more broadly the Department of Defense (DoD) and the Intelligence Community (IC), rely heavily on deriving knowledge for effective decision making from information that originates from multiple sources. The challenges for processing the high volumes of information are becoming exponentially more difficult with the expanding capabilities of generative artificial intelligence technologies, yet the need for high confidence assessments remains steadfast.
During information processing tasks, the formation of judgments based on information from a wide variety of sources by analysts (working alone and in teams) is influenced by (a) other people in their networks, (b) the available information they consume, (c) potential interactions with virtual agents, and (d) their own internal predispositions based on background, training, values, and external communities in which they are embedded.
These analysts’ capabilities and performance on such tasks can be expanded and augmented through intelligent systems or information agents leveraging technologies such as Large Language Models (LLMs), and through additional information gained from social media and social networking platforms. However, such human-agent teaming approaches can lead to the emergence of new biases and challenges surrounding the reliability of such judgments made to accept/reject each piece of information being processed. These phenomena reside at the conscious and subconscious levels, further exacerbating the challenges to understand their impact on judgment formation, especially when software agents are folded into the team.
The Collective Judgment Formation Proposers Day will be held virtually on Microsoft Teams. The event will take place on 04 Sep 2024 from 1100 to 1300 EDT. Any changes to the date or time will be posted on grants.gov and SAM.gov. Registration is required to attend.
Review the ARL Collective Judgment Formation solicitation.
Source: SAM
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