Request for Information on Advancing Privacy-Enhancing Technologies
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Abstract
The Office of Science and Technology Policy (OSTP)--on behalf of the Fast Track Action Committee on Advancing Privacy-Preserving Data Sharing and Analytics of the Subcommittee on Networking and Information Technology Research and Development (NITRD) of the National Science and Technology Council, the National Artificial Intelligence Initiative Office, and the NITRD National Coordination Office--requests public comments to help inform development of a national strategy on privacy- preserving data sharing and analytics, along with associated policy initiatives. The national strategy will put forth a vision for responsibly harnessing privacy-preserving data sharing and analytics to benefit individuals and society. It will also propose actions from research investments to training and education initiatives, to the development of standards, policy, and regulations needed to achieve that vision.
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<title>Federal Register, Volume 87 Issue 111 (Thursday, June 9, 2022)</title>
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[Federal Register Volume 87, Number 111 (Thursday, June 9, 2022)]
[Notices]
[Pages 35250-35252]
From the Federal Register Online via the Government Publishing Office [<a href="http://www.gpo.gov">www.gpo.gov</a>]
[FR Doc No: 2022-12432]
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OFFICE OF SCIENCE AND TECHNOLOGY POLICY
Request for Information on Advancing Privacy-Enhancing
Technologies
AGENCY: Office of Science and Technology Policy (OSTP).
ACTION: Notice of request for information on Advancing Privacy-
Enhancing Technologies.
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SUMMARY: The Office of Science and Technology Policy (OSTP)--on behalf
of the Fast Track Action Committee on Advancing Privacy-Preserving Data
Sharing and Analytics of the Subcommittee on Networking and Information
Technology Research and Development (NITRD) of the National Science and
Technology Council, the National Artificial Intelligence Initiative
Office, and the NITRD National Coordination Office--requests public
comments to help inform development of a national strategy on privacy-
preserving data sharing and analytics, along with associated policy
initiatives. The national strategy will put forth a vision for
responsibly harnessing privacy-preserving data sharing and analytics to
benefit individuals and society. It will also propose actions from
research investments to training and education initiatives, to the
development of standards, policy, and regulations needed to achieve
that vision.
DATES: Interested persons and organizations are invited to submit
comments on or before 5:00 p.m. ET on Friday, July 8.
ADDRESSES: Interested individuals and organizations should submit
comments electronically to <a href="/cdn-cgi/l/email-protection#6d3d28393e403f2b242d0304191f09430a021b"><span class="__cf_email__" data-cfemail="eabaafbeb9c7b8aca3aa84839e988ec48d859c">[email protected]</span></a> and include < RFI
Response: Privacy-Enhancing Technologies > in the subject line of the
email. Due to time constraints, mailed paper submissions will not be
accepted, and electronic submissions received after the deadline cannot
be ensured to be incorporated or taken into consideration.
Instructions: Response to this RFI is voluntary. Each responding
entity (individual or organization) is requested to submit only one
response, in English.
Responses may address one or as many topics as desired from the
enumerated list provided in this RFI, noting the corresponding number
of the topic(s) to which the response pertains. Submissions must not
exceed 10 pages (exclusive of cover page) in 11-point or larger font,
with a page number provided on each page. Responses should include the
name of the person(s) or organization(s) filing the comment, as well as
the respondent type (e.g., academic institution, advocacy group,
professional society, community-based organization, industry, member of
the public, government, other). Respondent's role in the organization
may also be provided (e.g., researcher, administrator, student, program
manager, journalist) on a voluntary basis. Comments containing
references, studies, research, and other empirical data that are not
widely published should include copies or electronic links of the
referenced materials; these materials, as well as a list of references,
do not count toward the 10-page limit. No business proprietary
information, copyrighted information, or personally identifiable
information (aside from that requested above) should be submitted in
response to this RFI. Comments submitted in response to this RFI may be
posted online or otherwise released publicly.
[[Page 35251]]
In accordance with Federal Acquisitions Regulations Systems
15.202(3), responses to this notice are not offers and cannot be
accepted by the Federal Government to form a binding contract.
Additionally, those submitting responses are solely responsible for all
expenses associated with response preparation.
FOR FURTHER INFORMATION CONTACT: For additional information, please
direct questions to Jeri Hessman at <a href="/cdn-cgi/l/email-protection#dd8d98898ef08f9b949db3b4a9afb9f3bab2ab"><span class="__cf_email__" data-cfemail="02524756512f50444b426c6b7670662c656d74">[email protected]</span></a> or 202-459-9683.
SUPPLEMENTARY INFORMATION: Privacy-Enhancing Technologies (PETs)
present a key opportunity to harness the power of data and data
analysis techniques in a secure, privacy-protecting manner.\1\ This can
enable more collaboration across entities, sectors, and borders to help
tackle shared challenges, such as health care, climate change,
financial crime, human trafficking, and pandemic response. PETs can
also help promote continued innovation in emerging technologies in a
manner that supports human rights and shared values of democratic
nations, as highlighted during the Summit for Democracy in December
2021, which included an announcement that the United States and the
United Kingdom are collaborating to develop bilateral innovation prize
challenges focused on advancing PETs. However, to date, PETs have not
achieved widespread adoption due to a variety of factors, among them,
limited technical expertise, perceived risks, financial cost, and the
need for more research and development.
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\1\ For the purposes of this RFI, privacy-enhancing, privacy-
preserving, and privacy-protecting are used as equivalent terms.
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The purpose of this Request for Information is to better understand
how to accelerate the responsible development and adoption of PETs in a
manner that maximizes the benefit to individuals and society, including
increasing equity for underserved or marginalized groups and promoting
trust in data processing and information technologies.
Terminology: Privacy-enhancing technologies (PETs) refer to a broad
set of technologies that protect privacy, which are within the scope
for this RFI. We are particularly interested in privacy-preserving data
sharing and analytics technologies, which describes the set of
techniques and approaches that enable data sharing and analysis among
participating parties while maintaining disassociability and
confidentiality.\2\ Such technologies include, but are not limited to,
secure multiparty computation, homomorphic encryption, zero-knowledge
proofs, federated learning, secure enclaves, differential privacy, and
synthetic data generation tools.
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\2\ Disassociability means enabling the processing of data or
events without association to individuals or devices beyond the
operational requirements of the system. NIST Privacy Framework: A
Tool for Improving Privacy Through Enterprise Risk Management, v
1.0, <a href="https://nvlpubs.nist.gov/nistpubs/CSWP/NIST.CSWP.01162020.pdf">https://nvlpubs.nist.gov/nistpubs/CSWP/NIST.CSWP.01162020.pdf</a>.
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Background: Data are vital resources for solving society's biggest
problems. Clinicians are using data to identify the best treatments for
their patients, farmers are using data to predict and improve farm
yields, and public servants are using data to create evidence-based
policies. Artificial intelligence (AI) and other emerging analytics
techniques are amplifying the power of data, making it easier to
discover new patterns and insights, ranging from better models to
predict the impacts of climate change to new methods for detecting
financial crimes.
While data are enabling innovation and insights across sectors, it
can still be challenging to harness the full potential of data due to
the overarching imperative for adequate privacy and security
protections. For instance, when trying to explore developing new
treatment options, some medical researchers may experience challenges
when trying to gain access to medical records because those records
reveal health information that may identify the individual patients,
implicating the privacy and safety of those patients as well as medical
privacy law. In other situations, confidentiality concerns around
intellectual property limit research collaborations that could improve
data model training and speed advances within those sectors.
Certain types of PETs provide ways to share data or provide access
to data to drive innovation while also protecting privacy. For example,
PETs could allow for the analysis of medical images across hospitals
and international borders without transferring that data or even
without using or disclosing the images to researchers. PETs could
enable access to more comprehensive and diverse datasets, which in turn
could enable the development of AI systems that can produce better
treatments for patients from all demographic backgrounds.
Acknowledging this potential, the Federal Government seeks to
develop a national strategy for advancing and adopting privacy-
preserving data sharing and analysis. In the public sector, PETs can
facilitate more integrated public services by enabling data analysis
across agencies, advancing the Federal Data Strategy's mission ``to
fully leverage the value of federal data for mission, service, and the
public good.'' \3\ In the private sector, PETs can spur innovation and
efficiencies by making it feasible for companies to enable more data
access for researchers and nonprofits, or even for each other, without
disclosing sensitive information.
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\3\ <a href="https://strategy.data.gov/overview/">https://strategy.data.gov/overview/</a>.
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Data processing by the Federal Government and in the private sector
is currently governed by a number of laws, regulations, and policies.
Many of these policies are in place to protect the information privacy
of individuals and businesses, often by sector (e.g., healthcare,
education), by entity (e.g., interagency data sharing, open data), or
by jurisdiction (e.g. the California Consumer Protection Act). However,
as PETs continue to mature and mitigate the risks to information
privacy when used to enable data sharing and analysis, it is possible
that some existing policies will need modification. Such modifications
could make it easier to harness the potential of PETs, while ensuring
that the Federal Government and other entities continue to manage data
in a responsible and privacy-protecting manner.
Through this RFI, we seek public input to identify potential
actions or recommendations that could be put forth as part of a
national strategy on privacy-preserving data sharing and analysis. We
are especially interested in comments on Federal laws, regulations,
authorities, research priorities, and other mechanisms across the
Federal Government that could be used, modified, or introduced to
accelerate the development and adoption of PETs.
Scope: OSTP invites input from any interested stakeholders. In
particular, OSTP is interested in input from parties researching,
developing, acquiring, using, or governing privacy-enhancing
technologies; parties with expertise on the exchange of data with or
within the Federal Government; and parties with experience using PETs
to ensure effective delivery of Federal services and increase equitable
outcomes.
Information Requested: Respondents may provide information for one
or as many topics below as they choose. Through this RFI, OSTP seeks
information on potential specific actions that would advance the
adoption of PETs in a responsible manner, including on the following
topics:
1. Specific research opportunities to advance PETs: Information
about Federal research opportunities that could be introduced or
modified to accelerate the development or adoption
[[Page 35252]]
of PETs. This includes topics for research, hardware and software
development, and educational and training programs. This also includes
information about specific techniques and approaches that could be
among the most promising technologies in this space.
2. Specific technical aspects or limitations of PETs: Information
about technical specifics of PETs that have implications for their
development or adoption. This includes information about specific PET
techniques that are promising, recent or anticipated advances in the
theory and practice of PETs, constraints posed by limited data and
computational resources, limitations posed by current approaches to de-
identification and deanonymization techniques, limitations or tradeoffs
posed when considering PETs as well as technical approaches to equity
considerations such as fairness-aware machine learning, security
considerations based on relevant advances in cryptography or computing
architecture, and new or emerging privacy-enhancing techniques. This
also includes technical specifications that could improve the benefits
or privacy protections, or reduce the risks or costs of adopting PETs.
3. Specific sectors, applications, or types of analysis that would
particularly benefit from the adoption of PETs: Information about
sectors, applications, or types of analysis that have high potential
for the adoption of PETs. This includes sectors and applications where
data are exceptionally decentralized or sensitive, where PETs could
unlock insights or services of significant value to the public, where
PETs can reduce the risk of unintentional disclosures, where PETs might
assist in data portability and interoperability, and sectors and
applications where the adoption of PETs might exacerbate risks,
including in the areas of privacy, cybersecurity, accuracy of data
analysis, equity for underserved communities, and economic competition.
This topic covers opportunities to improve the effectiveness of data
sharing among specific Federal agencies and between specific Federal
agencies and entities outside the Federal Government, including the
goals outlined in Section 5 of Executive Order 14058: Transforming
Federal Customer Experience and Service Delivery To Rebuild Trust in
Government.
4. Specific regulations or authorities that could be used,
modified, or introduced to advance PETs: Information about Federal
regulations or authorities that could be used, modified, or introduced
to accelerate the development or adoption of PETs. This includes
privacy-related rulemaking authorities under the Office of Management
and Budget, the Federal Trade Commission, and financial regulatory
bodies, as well as acquisition regulations under the Federal
Acquisition Regulations. This also includes the Federal authority to
set procedures for agencies to ensure the responsible sharing of data.
This also covers hiring authorities to recruit Federal employees with
expertise to advance PETs, as well as acquisition authorities (e.g.,
Other Transaction Authority) to procure PETs for development.
5. Specific laws that could be used, modified, or introduced to
advance PETs: Information about provisions in U.S. Federal law,
including implementing regulations, that could be used, modified, or
introduced to accelerate the development or adoption of PETs. This
includes provisions, safe harbors, and definitions of use, disclosure,
safeguards, and breaches. Information may also include comments on how
to advance PETs as part of new or proposed legislation, such as that
which would create a National Secure Data Service. Information may also
include comments on State law or on international law as it applies to
data sharing among international entities.
6. Specific mechanisms, not covered above, that could be used,
modified, or introduced to advance PETs: This includes the development
of open-source protocols and technical guidance, the use of public-
private partnerships, prize challenges, grants, testbeds, standards,
collaborations with foreign countries and nongovernmental entities, the
Federal Data Strategy, and data sharing procedures with State, local,
tribal, and territorial governments. This also includes interpretations
and modifications of standard non-disclosure agreements,
confidentiality clauses, data use or sharing agreements, etc.
7. Risks related to PETs adoption: Identification of risks or
negative consequences resulting from PETs adoption as well as policy,
governance, and technical measures that could mitigate those risks.
This includes risks related to equity for underserved or marginalized
groups, the complexity of implementation and resources required for
adoption, as well as from conceptual misunderstandings of the technical
guarantees provided by PETs. This also includes recommendations on how
to measure risk of PETs adoption and conduct risk-benefit analyses of
use.
8. Existing best practices that are helpful for PETs adoption:
Information about U.S. policies that are currently helping facilitate
adoption as well as best practices that facilitate responsible
adoption. This includes existing policies that support adoption,
including in the areas of privacy, cybersecurity, accuracy of data
analysis, equity for underserved communities, and economic competition.
This also includes information about where and when PETs can be
situated within tiered access frameworks for accessing restricted data,
ranging from publicly accessible to fully restricted data.
9. Existing barriers, not covered above, to PETs adoption:
Information about technical, sociotechnical, usability, and
socioeconomic barriers that have inhibited wider adoption of PETs, such
as a lack of public trust. This includes recommendations on how such
barriers could be overcome. Responses that focus on increasing equity
for underserved or marginalized groups are especially welcome.
10. Other information that is relevant to the adoption of PETs:
Information that is relevant to the adoption of PETs that does not fit
into any of the topics enumerated above.
Dated: June 6, 2022.
Stacy Murphy,
Operations Manager.
[FR Doc. 2022-12432 Filed 6-8-22; 8:45 am]
BILLING CODE 3270-F2-P
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