Competency-Aware Machine Learning (CAML)

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Funding Opportunity ID: 313085
Opportunity Number: HR001119S0030
Opportunity Title: Competency-Aware Machine Learning (CAML)
Opportunity Category: Discretionary
Opportunity Category Explanation:
Funding Instrument Type: Cooperative Agreement
Other
Procurement Contract
Category of Funding Activity: Science and Technology and other Research and Development
Category Explanation:
CFDA Number(s): 12.910
Eligible Applicants: Others (see text field entitled “Additional Information on Eligibility” for clarification)
Additional Information on 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.
Agency Code: DOD-DARPA-DSO
Agency Name: Department of Defense
DARPA – Defense Sciences Office
Posted Date: Feb 19, 2019
Close Date: Apr 22, 2019 See Full Announcement for details.
Last Updated Date: Feb 19, 2019
Award Ceiling: $0
Award Floor: $0
Estimated Total Program Funding:
Expected Number of Awards:
Description: 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.
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