DARPA-PA-18-02-07 Teaching AI to Leverage Overlooked Residuals (TAILOR)

The Defense Advanced Research Projects Agency (DARPA) is issuing an Artificial Intelligence Exploration (AIE) opportunity inviting submissions of innovative research proposals to investigate new, third wave AI approaches that leverage residuals to contextually reason, and make counterfactual predictions to better account for individual differences with the goal of enhancing the safety and efficacy of human performance interventions.

This AIE opportunity is issued under the Program Announcement for AIE, DARPA-PA-18-02. All proposals in response to the technical area(s) described herein will be submitted to DARPA-PA-18-02-07 and, if selected, will result in an award of an Other Transaction (OT) for prototype project.

The purpose of the TAILOR program is to explore whether and, if so to what extent, third wave AI methods can predict which HPO intervention(s) will be most effective for individuals and teams. The goal of the TAILOR program is to develop a prototype counterfactual prediction approach for tailoring individualized HPO interventions. DARPA anticipates that TAILOR proposers will need to include third wave AI approaches in order to demonstrate contextual reasoning (the ability to recognize new situations and rapidly adapt to changing circumstances or environments) and transfer learning (such as reusing related knowledge for abstraction) to be able to predict counterfactuals. Including residuals from different datasets in a counterfactual prediction approach could allow for individualized, adaptable, AI with contextual reasoning. This will increase the likelihood of methodological “transportability” across populations, individuals, and interventions.

Submission Deadlines (all times listed are Eastern Time):

  • Full Proposal Due Date: May 28, 2019, 4:00 p.m.

Additional information regarding this AIE opportunity can be found at the following link:


Please send any questions regarding this notice to TAILOR@darpa.mil

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