Defense Advanced Research Projects AgencyTagged Content List

Technologies for Trustworthy Computing and Information

Confidence in the integrity of information and systems

Showing 5 results for Trust + Interface RSS
01/30/2020
U.S. forces operating in remote, under-governed regions around the world often find that an area’s distinct cultural and societal practices are opaque to outsiders, but are obvious to locals. Commanders can be hindered from making optimal decisions because they lack knowledge of how local socio-economic, political, religious, health, and infrastructure factors interact to shape a specific community.
Dramatic success in machine learning has led to a torrent of Artificial Intelligence (AI) applications. Continued advances promise to produce autonomous systems that will perceive, learn, decide, and act on their own. However, the effectiveness of these systems is limited by the machine’s current inability to explain their decisions and actions to human users (Figure 1). The Department of Defense (DoD) is facing challenges that demand more intelligent, autonomous, and symbiotic systems. Explainable AI—especially explainable machine learning—will be essential if future warfighters are to understand, appropriately trust, and effectively manage an emerging generation of artificially intelligent machine partners.
What is opaque to outsiders is often obvious – even if implicit – to locals. Habitus aims to capture and make local knowledge available to military operators, providing them with an insider view to support decision making.
Program Manager
Dr. Bartlett Russell joined DARPA as a program manager in April of 2019. Her work focuses on understanding the variability of human cognitive and social behavior to enable the decision-maker, improve analytics, and generate autonomous and AI systems that enable human adaptability. Prior to joining DARPA, Russell was a senior program manager and lead of the human systems and autonomy research area in Lockheed Martin’s Advanced Technology Laboratories.
04/23/2020
The Defense Sciences Office (DSO) at the Defense Advanced Research Projects Agency (DARPA) is soliciting innovative research proposals to create self-sustaining, adaptive, generalizable, and scalable methods for generating causal system models based on local knowledge to aid operational decision making.