Defense Advanced Research Projects AgencyTagged Content List

Technologies for Trustworthy Computing and Information

Confidence in the integrity of information and systems

Showing 13 results for Trust + AI RSS
01/31/2019
A key ingredient in effective teams – whether athletic, business, or military – is trust, which is based in part on mutual understanding of team members’ competence to fulfill assigned roles. When it comes to forming effective teams of humans and autonomous systems, humans need timely and accurate insights about their machine partners’ skills, experience, and reliability to trust them in dynamic environments. At present, autonomous systems cannot provide real-time feedback when changing conditions such as weather or lighting cause their competency to fluctuate. The machines’ lack of awareness of their own competence and their inability to communicate it to their human partners reduces trust and undermines team effectiveness.
02/06/2019
Today, machine learning (ML) is coming into its own, ready to serve mankind in a diverse array of applications – from highly efficient manufacturing, medicine and massive information analysis to self-driving transportation, and beyond. However, if misapplied, misused or subverted, ML holds the potential for great harm – this is the double-edged sword of machine learning.
05/08/2019
Artificial intelligence has defeated chess grandmasters, Go champions, professional poker players, and, now, world-class human experts in the online strategy games Dota 2 and StarCraft II. No AI currently exists, however, that can outduel a human strapped into a fighter jet in a high-speed, high-G dogfight. As modern warfare evolves to incorporate more human-machine teaming, DARPA seeks to automate air-to-air combat, enabling reaction times at machine speeds and freeing pilots to concentrate on the larger air battle.
09/03/2019
The threat of manipulated multi-modal media – which includes audio, images, video, and text – is increasing as automated manipulation technologies become more accessible, and social media continues to provide a ripe environment for viral content sharing. The creators of convincing media manipulations are no longer limited to groups with significant resources and expertise. Today, an individual content creator has access to capabilities that could enable the development of an altered media asset that creates a believable, but falsified, interaction or scene.
| AI | Analytics | Trust |
March 14, 2019, 9:00 AM ET,
DARPA Conference Center
The Information Innovation Office is holding a Proposers Day meeting to provide information to potential proposers on the objectives of the new Artificial Social Intelligence for Successful Teams (ASIST) program. ASIST will explore human-machine teaming and machine social intelligence in a teaming context. DARPA envisions computer-based agents that observe their surroundings; build and maintain rich representations of the environment, team, and individuals; infer teammates’ goals (non-verbal behavior); predict teammates’ actions; and assist teams by planning interventions and executing them at appropriate times. During demonstrations in a virtual testbed, ASIST agents will operate in increasingly complex environments and will have to adapt to challenges such as a change in strategy.