NSF Program on Fairness in Artificial Intelligence (AI) in Collaboration with Amazon
The summary for the NSF Program on Fairness in Artificial Intelligence (AI) in Collaboration with Amazon grant is detailed below.
This summary states who is eligible for the grant, how much grant money will be awarded, current and past deadlines, Catalog of Federal Domestic Assistance (CFDA) numbers, and a sampling of similar government grants.
Verify the accuracy of the data FederalGrants.com provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed as the Grant Announcement Contact.
If any section is incomplete, please visit the website for the National Science Foundation, which is the U.S. government agency offering this grant.
NSF Program on Fairness in Artificial Intelligence (AI) in Collaboration with Amazon: NSF has long supported transformative research in artificial intelligence (AI) and machine learning (ML). The resulting innovations offer new levels of economic opportunity and growth, safety and security, and health and wellness. At the same time, broad acceptance of large-scale deployments of AI systems relies critically on their trustworthiness which, in turn, depends upon the collective ability to ensure, assess, and ultimately demonstrate the fairness, transparency, explainability, and accountability of such systems. Importantly, the beneficial effects of AI systems should be broadly available across all segments of society. NSF and Amazon are partnering to jointly support computational research focused on fairness in AI, with the goal of contributing to trustworthy AI systems that are readily accepted and deployed to tackle grand challenges facing society. Specific topics of interest include, but are not limited to transparency, explainability, accountability, potential adverse biases and effects, mitigation strategies, validation of fairness, and considerations of inclusivity. Funded projects will enable broadened acceptance of AI systems, helping the U.S. further capitalize on the potential of AI technologies. Although Amazon provides partial funding for this program, it will not play a role in the selection of proposals for award. Advancing AI is a highly interdisciplinary endeavor drawing on fields such as computer science, information science, engineering, statistics, mathematics, cognitive science, and psychology. As such, NSF and Amazon expect these varied perspectives to be critical for the study of fairness in AI. NSF's ability to bring together multiple scientific disciplines uniquely positions the agency in this collaboration, while building AI that is fair and unbiased is an important aspect of Amazon's AI initiatives. This program supports the conduct of fundamental computer science research into theories, techniques, and methodologies that go well beyond today's capabilities and are motivated by challenges and requirements in real systems.
Federal Grant Title: | NSF Program on Fairness in Artificial Intelligence (AI) in Collaboration with Amazon |
Federal Agency Name: | National Science Foundation (NSF) |
Grant Categories: | Science and Technology |
Type of Opportunity: | Discretionary |
Funding Opportunity Number: | 19-571 |
Type of Funding: | Grant |
CFDA Numbers: | 47.070, 47.075 |
CFDA Descriptions: | Information not provided |
Current Application Deadline: | June 25th, 2019 |
Original Application Deadline: | June 25th, 2019 |
Posted Date: | March 26th, 2019 |
Creation Date: | March 26th, 2019 |
Archive Date: | July 25th, 2019 |
Total Program Funding: | $7,600,000 |
Maximum Federal Grant Award: | |
Minimum Federal Grant Award: | |
Expected Number of Awards: | 9 |
Cost Sharing or Matching: | No |
Last Updated: | March 26th, 2019 |
- Applicants Eligible for this Grant
- Others (see text field entitled "Additional Information on Eligibility" for clarification.)
- Additional Information on Eligibility
- *Who May Submit Proposals: Proposals may only be submitted by the following: -Non-profit, non-academic organizations: Independent museums, observatories, research labs, professional societies and similar organizations in the U.S. associated with educational or research activities. -Institutions of Higher Education (IHEs) - Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members.Special Instructions for International Branch Campuses of US IHEs: If the proposal includes funding to be provided to an international branch campus of a US institution of higher education (including through use of subawards and consultant arrangements), the proposer must explain the benefit(s) to the project of performance at the international branch campus, and justify why the project activities cannot be performed at the US campus.
- Link to Full Grant Announcement
- NSF Publication 19-571
- Grant Announcement Contact
- NSF grants.gov support
[email protected]
If you have any problems linking to this funding announcement, please contact - Similar Government Grants
- • Computer Science for All
- • Improving Undergraduate STEM Education: Computing in Undergraduate Education
- • Computer and Information Science and Engineering Research Expansion Program
- • Campus Cyberinfrastructure
- • Enabling Access to the Semiconductor Chip Ecosystem for Design, Fabrication, and Training
- • Science and Engineering Information Integration and Informatics (SEII)
- • Emerging Models and Technologies for Computation
- • Networking Technology and Systems (NeTS)
- More Grants from the National Science Foundation
- • National Science Foundation Research Traineeship Institutional Partnership Pilot (NRT-IPP...
- • NSF Regional Innovation Engines
- • Cyberinfrastructure for Public Access and Open Science
- • IUSE/Professional Formation of Engineers: Revolutionizing Engineering Departments
- • Probability