Identifying Priority Access or Quality Improvements for Federal Data and Models for Artificial Intelligence Research and Development (R&D), and Testing; Request for Information, 32962-32963 [2019-14618]
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Federal Register / Vol. 84, No. 132 / Wednesday, July 10, 2019 / Notices
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
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.
AGENCY:
Under the Executive Order on
Maintaining American Leadership in
Artificial Intelligence (Section 5.a.i),
https://www.whitehouse.gov/
presidential-actions/executive-ordermaintaining-american-leadershipartificial-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
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SUMMARY:
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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 wellsuited 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
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Fmt 4703
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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.
E:\FR\FM\10JYN1.SGM
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Federal Register / Vol. 84, No. 132 / Wednesday, July 10, 2019 / Notices
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
NATIONAL AERONAUTICS AND
SPACE ADMINISTRATION
[Notice: 19–140]
Notification Requirements Regarding
Findings of Discrimination, Sexual
Harassment, Other Forms of
Harassment, or Sexual Assault
National Aeronautics and
Space Administration.
ACTION: New reporting requirement for
discrimination, sexual or other forms of
harassment, or sexual assault; request
for comments.
AGENCY:
The National Aeronautics and
Space Administration (NASA) is
soliciting public comment on the
agency’s proposed implementation of
new reporting requirements regarding
discrimination and harassment among
recipients of NASA financial assistance.
The many hundreds of U.S. institutions
of higher education and other
organizations that receive NASA funds
are responsible for fully investigating
complaints and for compliance with
federal non-discrimination laws,
regulations, and executive orders. The
implementation of new reporting
requirements is necessary as NASA
seeks to help ensure research
environments to which the Agency
provides funding are free from
discrimination, including harassment,
sexual harassment, other forms of
harassment, and sexual assault.
Additionally, NASA is taking this action
to bolster our policies, guidelines, and
communications. The intended effect of
this action is, first, to better ensure that
organizations funded by NASA clearly
understand expectations and
requirements. In addition, NASA seeks
to ensure that recipients of grants and
cooperative agreements respond
promptly and appropriately to instances
of discrimination, sexual harassment,
other forms of harassment, and sexual
assault.
DATES: Comments must be received by
August 9, 2019.
ADDRESSES: Comments should be
addressed to National Space and
Aeronautics Administration
Headquarters, 300 E Street SW, Rm.
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SUMMARY:
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6O87, Washington, DC 20546 or sent by
email to civilrightsinfo@nasa.gov; Phone
Number: 202–358–2180, Fax Number:
202–358–3336. We encourage
respondents to submit comments
electronically to ensure timely receipt.
We cannot guarantee that comments
mailed will be received before the
comment closing date. Please include
‘‘Reporting Requirement Regarding
Findings of Discrimination, Sexual
Harassment, other Forms of
Harassment, or Sexual Assault’’ in the
subject line of the email message; please
also include the full body of your
comments in the text of the message and
as an attachment. Include your name,
title, organization, postal address,
telephone number, and email address in
your message.
FOR FURTHER INFORMATION CONTACT:
Richard N. Reback, email:
civilrightsinfo@nasa.gov; telephone
(202) 358–2180.
As a U.S.
funding agency of scientific research
and development, and the primary
funding agency for aeronautics and
space research and technology, NASA is
committed to promoting safe,
productive research and education
environments for current and future
scientists and engineers. We consider
the Principal Investigator (PI) and any
Co-I(s) identified on a NASA award and
all personnel supported by a NASA
award must not engage in
discriminatory or harassing behavior
during the award period of performance
whether at the awardee institution, online, or outside the organization, such as
at field sites or facilities, or during
conferences and workshops.
Upon implementation, the new term
and condition will require awardee
organizations to notify NASA of any
findings/determinations of
discrimination, sexual harassment,
other forms of harassment, or sexual
assault regarding an NASA funded PI or
Co-I. The new term and condition also
will require the awardee to notify NASA
if the PI or Co-I is placed on
administrative leave or if the awardee
has imposed any administrative action
on the PI or any determination or an
investigation of an alleged violation of
awardee policies or codes of conduct,
statutes, regulations, or executive orders
relating to discrimination, sexual
harassment, other forms of harassment,
or sexual assault. Finally, the award
term and condition specifies the
procedures that will be followed by
NASA upon receipt of a notification.
The full text of the new term and
condition is provided below:
SUPPLEMENTARY INFORMATION:
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32963
Notification Requirements Regarding
Sexual Harassment, Other Forms of
Harassment, or Sexual Assault
The Principal Investigator (PI) and
any Co-I(s) identified on an NASA
award are in a position of trust. These
individuals must comport themselves in
a responsible and accountable manner
during the award period of performance,
whether at the awardee institution, online, or at locales such as field sites,
facilities, or conferences/workshops.
Above all, NASA wishes to assure the
safety, integrity, and excellence of the
programs and activities it funds.
For purposes of this term and
condition, the following definitions
apply:
Administrative Leave/Administrative
Action: Any temporary/interim
suspension or permanent removal of the
PI or Co-I, or any administrative action
imposed on the PI or Co-I by the
awardee under organizational policies
or codes of conduct, statutes,
regulations, or executive orders, relating
to activities, including but not limited to
the following: Teaching, advising,
mentoring, research, management/
administrative duties, or presence on
campus.
Discrimination: Treating an
individual differently or using methods
of administration that have the effect of
subjecting individuals to different
treatment based on race, color, national
origin, sex, disability or age.
Finding/Determination: The final
disposition of a matter involving sexual
harassment or other form of harassment
under organizational policies and
processes, to include the exhaustion of
permissible appeals exercised by the PI
or Co-I, or a conviction of a sexual
offense in a criminal court of law.
Other Forms of Harassment: Nongender or non-sex-based harassment of
individuals protected under federal civil
rights laws, as set forth in organizational
policies or codes of conduct, statutes,
regulations, or executive orders.
Sexual harassment: May include but
is not limited to gender or sex-based
harassment, unwelcome sexual
attention, sexual coercion, or creating a
hostile environment, as set forth in
organizational policies or codes of
conduct, statutes, regulations, or
executive orders.
The awardee is required to notify
NASA of: (1) Any finding/determination
regarding the PI or any Co-I 1 that
1 If a Co-I is affiliated with a subawardee
organization, the Authorized Organizational
Representative of the subawardee must provide the
requisite information directly to NASA, as
instructed in this paragraph.
E:\FR\FM\10JYN1.SGM
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]]>Agencies
[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]]
=======================================================================
-----------------------------------------------------------------------
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.
-----------------------------------------------------------------------
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.
[[Page 32963]]
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
