Woman-led Team to Research Human-AI Collaboration in Army Intelligence

Print Friendly, PDF & Email

Dr. Susannah Paletz, University of Maryland

The Army Research Office is funding a $617,000 grant for a multi-institutional, majority-female research team for technology-enhanced intelligence analysis led by Dr. Susannah B.F. Paletz, research professor at the University of Maryland (UMD) College of Information Studies.

The ARO said the team will soon recruit additional project support from undergraduate students.

The research team also includes Dr. Adam Porter, Co-PI, professor at the UMD Department of Computer Science and executive and scientific director of the Fraunhofer USA Center for Experimental Software Engineering; Dr. Madeline Diep, senior scientist at Fraunhofer USA CESE; Jeronimo Cox, software developer at Fraunhofer USA CESE; Tammie Nelson, PhD student at the UMD College of Information Studies; Melissa Carraway, PhD student at the UMD College of Information Studies; Sarah Vahlkamp, PhD student at the UMD College of Information Studies; Dr. Aimee Kane, associate professor at the Palumbo-Donahue School of Business at Duquesne University.

The ARO, part of the U.S. Army Combat Capabilities Development Command, said the researchers are examining how human intelligence analysts and AI can collaboratively become an effective team.

“AI has the potential to support intelligence analysts in reviewing potentially hundreds of thousands of source documents, pulling out key findings, and assembling them into actionable intelligence,” the ARO said in its announcement. “AI can also aid in the exchange of information and analysis among intelligence team members – improving the efficiency and accuracy of their work.”

But noting that AI can have inaccuracies and biases, the ARO said the project “involves foundational research on team cognition to understand how AI and humans can work together, not just how AI can increase efficiency, which is key to creating a system where human intelligence analysts can benefit from and place appropriately-calibrated trust in AI technology.”

source: U.S