Competency-Aware Machine Learning (CAML)
The Defense Sciences Office (DSO) at the Defense Advanced Research Projects Agency (DARPA) is soliciting innovative research proposals in the area of competency-awareness machine learning, whereby an autonomous system can self-assess its task competency and strategy and express both in a human-understandable
form.
This competency-awareness capability contributes to the goal of transforming autonomous systems from tools into trusted, collaborative partners.
The resulting competency-aware machine learning systems will enable machines to control their behaviors to match user expectations and allow human operators to quickly and accurately gain insight into a system’s competence in complex, time-critical, dynamic environments.
The Competency-Aware Machine Learning (CAML) program will, in this way, improve the efficiency and effectiveness of human-machine teaming.
Proposed research should investigate innovative approaches that enable revolutionary advances in science.
DSO will exclude proposals that propose evolutionary improvement to the existing state of practice.
This competency-awareness capability contributes to the goal of transforming autonomous systems from tools into trusted, collaborative partners.
The resulting competency-aware machine learning systems will enable machines to control their behaviors to match user expectations and allow human operators to quickly and accurately gain insight into a system’s competence in complex, time-critical, dynamic environments.
The Competency-Aware Machine Learning (CAML) program will, in this way, improve the efficiency and effectiveness of human-machine teaming.
Proposed research should investigate innovative approaches that enable revolutionary advances in science.
DSO will exclude proposals that propose evolutionary improvement to the existing state of practice.
Obtain Full Opportunity Text:
FedBizOpps Announcement
Additional Information of Eligibility:
All responsible sources capable of satisfying the Government's needs may submit a proposal that shall be considered by DARPA.
See the Eligibility Information section of the BAA for more information.
Full Opportunity Web Address:
https://www.fbo.gov/index?s=opportunity&mode=form&id=741c4ad914154a1e3f41449a7c885676&tab=core&_cview=1
Contact:
Agency Email Description:
If you have any problems linking to this funding announcement, please contact the NIH OER Webmaster
Agency Email:
Date Posted:
2019-02-19
Application Due Date:
Archive Date:
2019-05-22
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