RTX Division, DARPA Seek to Advance AI Decision-Making in Disaster Relief, Other Scenarios

An RTX (NYSE: RTX) division will help the Defense Advanced Research Projects Agency develop foundations to enable artificial intelligence-driven decision-making in uncontrolled environments such as mass casualty triage and disaster relief.

Under the In The Moment program of DARPA, a Raytheon BBN-led team will train algorithms using scenario-based experiments to align AI with human values and decision-making attributes during difficult operations, RTX said Thursday.

“To accomplish this, we need to determine how human experts make really difficult decisions and assess whether to trust the decisions of others,” explained Alice Leung, principal investigator at Raytheon BBN. “We’ll be conducting both decision-making research and trust research… We want to be able to tune an AI’s attributes such as risk tolerance, process focus, or willingness to change plans to better match a user or a group of users.”

The Raytheon BBN team working on the contract includes Kairos Research, MacroCognition and Valkyries Austere Medical Solutions. Efforts are being conducted in Cambridge, Massachusetts; Dayton, Ohio; and Anniston, Alabama.

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