[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]
[[Page 32962]]
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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]
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