The US National Science Foundation (NSF) has begun soliciting proposals from “eligible researchers and interdisciplinary groups” for a viable technology deployment that would allow data sharing in a confidential manner. NSF said it expects to make 26 awards totaling $23 million.
Awards will be made as a regular or ongoing grant under NSF’s Privacy-Preserving Data Sharing in Practice (PDaSP) program, which seeks to encourage inspired and translational research to develop and measure models, methods, or building the intersection of personal goals and economic or political problems. “
Of particular interest to NSF is the innovation and translation of technologies that empower data subjects, owners/custodians, and other stakeholders to control how non-privacy-sensitive data is shared and used to improve the use of data while reducing potential risks.
“Information plays an important role in our increasingly digital world, where technological innovations allow the generation, collection, sharing, analysis and unlimited flow of vast amounts of information. These developments, including the explosive growth and rapid adoption of AI, provide unprecedented opportunities to derive value from data to aid decision-making capabilities. “good knowledge, driven by data, accelerates scientific progress, and helps society progress,” NSF said.
“However, this development also raises important concerns related to privacy and potential harm to individuals, businesses and society at large,” NSF added. “To create a future where the power of data is harnessed for the benefit of all, it is essential to develop practical and easy-to-use privacy-preserving data storage and analytics (PPDSA) technologies.”
NSF stressed that technological advances and the proliferation of data protection and privacy laws have added “significant challenges to the development of technological and social PPDSA solutions that are easy to use and compliant with regulations in a multi-energy connected environment where privacy- Important information is shared and used.”
“While there is promise of global core functionality of PPDSA’s various features such as differentiated privacy, secure multi-party computing, and trusted performance standards, to name a few,” NSF explained, “widespread adoption of such technologies has been slow due to challenges related to a lack of understanding of risks and privacy risks, limited access to technical expertise, ts’ epo and transparency among participants about data collection and use, uncertainty about legal compliance, financial costs, technical maturity or readiness for supply solutions.”
The NSF PDaSP program implements the President’s Executive Order of October 30, 2023 (EO) regarding Safe, Secure and Reliable Development and Use of Artificial Intelligence.
The EO directed NSF to, “where feasible and appropriate, prioritize research – including efforts to translate research findings into practical applications – that promote the adoption of PETs leading solutions for use of organizations.”
It also tasked NSF with “developing and helping to ensure the availability of testing facilities, such as test beds, to support the development of safe, secure, and reliable AI technologies.” , as well as supporting the design, development and deployment of related PETs.”
The PDaSP program also strives to address key recommendations made in National Strategy for Advancing Privacy and Data Sharing and Analysis granted by the White House in March 2023. In particular, the program seeks to advance the strategic plan to Accelerate Transition to Practice, which includes efforts to promote applied and translational research and systems development, to develop develop tool storage, measurement systems, benchmarking, and testbeds. , and improving the use and integration of the PPDSA solution.
The primary goal of the Biden Administration is to “ensure that America leads the way in delivering on the promise and managing the risks of artificial intelligence (AI).” It also “establishes new standards of AI security and protection, protects Americans’ privacy, advances equality and human rights, represents consumers and workers, promotes innovation and competition, and continue America’s leadership around the world, and more,” according to the Truth. A page about the EO that the White House released at the time the EO was announced.
The White House said that “without security, AI could further threaten Americans’ privacy. AI not only makes it easier to extract, identify and use personal information, but also increases incentive to do so because companies use data to train AI systems. To better protect Americans’ privacy, including from the risks posed by AI, the President is asking Congress to pass bipartisan data privacy laws to protect Americans. everyone, especially children.
The EO ordered the following actions:
- Protecting Americans’ privacy by prioritizing government support for accelerating the development and use of privacy-preserving technologies, including those that use advanced AI and allow AI systems to be trained training details are being kept confidential.
- Strengthen research and technologies that protect privacy, such as privacy-preserving devices that protect people’s privacy, by supporting the Research Network to promote success and development. The National Science Foundation was tasked with working with this network to promote the adoption of early privacy technologies by government agencies.
- Review how organizations collect and use commercially available information — including information they receive from data vendors — and strengthen privacy guidelines for government agencies to account for AI risks. This work is for the purpose of dealing with business information that contains personal data.
- Create guidelines for government agencies to assess the effectiveness of privacy practices, including those used in AI applications.
NSF says it expects sponsors to consider the opportunities and gaps that expand across computing, development and operations, and across the spectrum of modern deployments including technologies that can be used by parties. untrusted (eg private cloud, public cloud, mainframe. ).
The main objective of the application “is to use, develop, and measure the use of tools and software for sharing data while maintaining the confidentiality and appropriate use of that data,” NSF said. , and adds that, “in that spirit,” the request seeks proposals related to PPDSA’s growing technologies to increase the use of data, accompanied by clear plans to demonstrate the effectiveness of the solutions intended for one or more known use cases and/or use cases. ”
Applications can be made by academics, non-profit organizations, and businesses that qualify as small businesses. The NSF PDaSP program seeks proposals for the following projects, with anticipated funding ranges for each track as indicated:
- Track 1 – Developing key technologies to enable effective PPDSA solutions. Projects are expected to have a budget of $500,000 to $1 million for two years;
- Track 2 – Integrated and comprehensive solutions for reliable data sharing in application settings. Projects are expected to be budgeted at $1 million to $1.5 million for up to three years;
- Track 3 – Usable tools and test beds for reliable sharing of private or confidential data. These projects are expected to be distributed with a budget of $500,000 to $1.5 million for up to three years.
NSF said it expects to make 12 Track 1 awards; up to 7 Track 2 awards; and up to 7 Track 3 awards, “based on production quality and funding availability.” Submissions are due by September 27, 2024.
For more information, see NSF’s PDaSP program page.
The PDaSP program represents a collaborative effort of NSF’s Technology, Innovation, and Partnerships and Computer and Information Science and Engineering offices, as well as technology companies Intel and VMware, and industry partners the US Federal Highway Administration and the National Institute of Standard and Technology. .
The NSF application welcomes new partners from the public and private sectors. The NSF says that those who submit proposals “will be given the option to have their proposals considered for new partner funding based on areas of interest.”
Potential partners from industry and other government agencies are directed to contact: TIP-PDaSP-Ask@nsf.gov for more information.
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