[Federal Register Volume 84, Number 132 (Wednesday, July 10, 2019)]
[Notices]
[Pages 32962-32963]
From the Federal Register Online via the Government Publishing Office [www.gpo.gov]
[FR Doc No: 2019-14618]



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OFFICE OF MANAGEMENT AND BUDGET


Identifying Priority Access or Quality Improvements for Federal 
Data and Models for Artificial Intelligence Research and Development 
(R&D), and Testing; Request for Information

AGENCY: Office of Management and Budget (OMB), Executive Office of the 
President.

ACTION: Notice of request for information: Identifying Priority Access 
or Quality Improvements for Federal data and models for Artificial 
Intelligence Research and Development (R&D), and Testing.

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SUMMARY: Under the Executive Order on Maintaining American Leadership 
in Artificial Intelligence (Section 5.a.i), https://www.whitehouse.gov/presidential-actions/executive-order-maintaining-american-leadership-artificial-intelligence/, the Office of Management and Budget is 
inviting the public to identify needs for additional access to, or 
improvements in the quality of, Federal data and models that would 
improve the Nation's artificial intelligence (AI) research and 
development (R&D) and testing efforts.

DATES: July 10, 2019.

ADDRESSES: Submissions are due 30 days from publication of this notice 
through www.regulations.gov.

SUPPLEMENTARY INFORMATION: The National Artificial Intelligence 
Research and Development Strategic Plan discusses fundamental 
challenges, novel ideas for human and AI collaboration, and creating AI 
that is more trustworthy (e.g., AI techniques that address challenges 
of bias and fairness, transparency and explainability, and robustness, 
security, and safety).
    Beyond fundamental advances in AI, open challenges also include the 
application of AI to key domains, such as those highlighted on ai.gov 
that include:

 Transportation
 Healthcare
 Manufacturing
 Financial Services
 Agriculture
 Weather Forecasting
 National Security & Defense

    Depending on the R&D goal and application domain, different data 
sets and models may be needed to accelerate AI advances. Additionally, 
the use of these data sets and models could stimulate new developments 
that would enhance the transparency and explainability of the AI 
application, and illuminate ways to ensure the robustness, security and 
safety of AI applications.
    Over the years, a number of data sets have already been made 
available via data.gov. Some of these datasets are fully publically 
available, while others have restricted use (see restricted use data 
sets). However, these data sets may or may not be useful or suitable 
for AI R&D and testing.
    The following lists of topics cover the major areas for which 
information is sought. These lists are not intended to limit the topics 
that may be addressed by respondents, who may provide information about 
any topic that would inform the objective of this action.
    To developing requests for additional accesses for data and models 
to improve AI R&D and testing, input to the following questions is 
sought:
     What Federal data and models are you seeking to use that 
are available to the public with no use restrictions, but which have 
technical issues inhibiting data access? Specifically, what are the 
technical issues (e.g., is it too big to be downloaded, is it not 
optimally formatted)? What types of AI R&D and testing would be 
accelerated with increased access to this data?
     What Federal data and models are you seeking to use that 
are restricted to the public, i.e., the data asset is available under 
certain use restrictions? What types of AI R&D and testing would be 
accelerated with increased access to this data?
     What Federal data and models are you seeking to use that 
are private and not at all available to the public? Describe the agency 
that has the data and what, if any, attempts you are aware of that have 
been made to increase access to the data or model. What types of AI R&D 
and testing would be accelerated with increased access to this data?
     What are key gaps in data and model availability that are 
slowing progress in AI R&D and testing? Which areas of AI R&D and 
testing are most impacted?
    In developing requests for quality improvements to accessible data 
and models to improve AI R&D and testing, input to the following 
questions is sought:
     As agencies review their data and models, what are the 
most important characteristics they should consider? Stated 
differently, what characteristics of data sets or models make them 
well-suited for AI R&D?
     Which models are most important for agencies to focus on, 
and why?
     What characteristics should the Federal Government 
consider to increase a data set or model's utility for AI R&D (e.g., 
documentation, provenance, metadata)?
     What data ownership, intellectual property, or data 
sharing considerations should be included in federally-funded 
agreements (including, but not limited to, federal contracts and 
grants) that results in production of data for R&D?
     What research questions and applications are you trying to 
solve with AI, that require specific types and/or quantities of Federal 
data and models, and how might the Federal Government reduce barriers 
to discovery and access?
     Accelerating the application of AI can be enabled with 
pre-trained models (e.g., ResNet trained on ImageNet) that facilitate 
transfer learning. What research questions and applications would 
benefit most from the transfer learning?
    Respondents to this RFI may define ``data'', ``data set'', and 
``model'' as they desire, indicating clearly what they mean when using 
the term.

Instructions for Written Responses

    Interested parties should provide written responses to the 
questions outlined in the purpose of this Federal Register notice 
section. Submissions are due 30 days from publication of this notice 
through www.regulations.gov.
    Please include the below in your response, limiting this portion of 
your response to one page:
     The name of the individual(s) and/or organization 
responding. Anonymous responses will also be accepted.
     A brief description of the responding individual(s) or 
organization's mission and/or areas of expertise, if the responder 
feels appropriate.
     A contact for questions or other follow-up on your 
response if desired.
    Comments submitted in response to this notice are subject to FOIA. 
OMB may also make all comments available to the public. For this 
reason, please do not include in your comments information of a 
confidential nature, such as sensitive personal information or 
proprietary information. If you send an email comment, your email 
address will be automatically captured and included as part of the 
comment that is placed in the public docket and made available on the 
internet. Please note that responses to this public comment request 
containing any routine notice about the confidentiality of the 
communication will be treated as public comments that may be made 
available to the public notwithstanding the inclusion of the routine 
notice.

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Next Steps

    For background information on the areas of AI activity in the 
Federal government, please visit: AI.gov.

Russell T. Vought,
Acting Director, OMB.
[FR Doc. 2019-14618 Filed 7-9-19; 8:45 am]
 BILLING CODE 3110-05-P