Defense Advanced Research Projects AgencyTagged Content List

Artificial Intelligence and Human-Computer Symbiosis Technologies

Technology to facilitate more intuitive interactions between humans and machines

Showing 22 results for Artificial Intelligence + Trust RSS
The growing sophistication and ubiquity of machine learning (ML) components in advanced systems dramatically expands capabilities, but also increases the potential for new vulnerabilities. Current research on adversarial AI focuses on approaches where imperceptible perturbations to ML inputs could deceive an ML classifier, altering its response.
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.
Media generation and manipulation technologies are advancing rapidly and purely statistical detection methods are quickly becoming insufficient for identifying falsified media assets. Detection techniques that rely on statistical fingerprints can often be fooled with limited additional resources (algorithm development, data, or compute).
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.
Program Manager
Dr. Odom joined DARPA in late 2019 as a program manager in the Adaptive Capabilities Office focused on technology development to drive new warfighting architectures.