...c. 218. Competition for technology that detects and watermarks the
use of generative artificial intelligence.
Subtitle C--Plans, Reports, and Other Matters
Sec. 221. Department of Defense prize competitions for business systems
modernization.
Sec. 222. Update to plans and strat...
...ons for business systems
modernization.
Sec. 222. Update to plans and strategies for artificial intelligence.
Sec. 223. Western regional range complex demonstration.
Sec. 224. Report on feasibility and advisability of establishing a
quantum computing innovation center.
Sec. 225. Briefing on t...
...ogram.
Subtitle I--Additional Matters Relating to Artificial Intelligence
Sec. 6096. Report on artificial intelligence regulation in financial
services industry.
Sec. 6097. Artificial intelligence bug bounty programs.
Sec. 6098. Vulnerability analysis study for artificial intelligence-
en...
...Sec. 6097. Artificial intelligence bug bounty programs.
Sec. 6098. Vulnerability analysis study for artificial intelligence-
enabled military applications.
Sec. 6099. Report on data sharing and coordination.
TITLE LXII--MATTERS RELATING TO FOREIGN NATIONS
Subtitle C--Matters Relating to Euro...
...uding
applications, tools, and models, for the detection and
watermarking of generative artificial intelligence (AI)--
(A) to facilitate the research, development, testing,
evaluation, and competition of secure generative artificial
intelligence detection and watermark technologies that can ...
...l content.
(2) The term ``watermarking'' means embedding a piece of
data onto detected artificial intelligence generated digital
content, conveying attribution to the source generation.
(f) Termination.--The competition established and carried
out pursuant to subsection (a) shall terminate ...
...ries of the
military departments shall each consider the following:
(A) Integration of artificial intelligence or machine
learning capabilities.
(B) Data analytics or business intelligence, or related
visualization capability.
(C) Automated updating of business architectures, busines...
...omes of near-term and long-term strategies and plans
relating to--
(A) the adoption of artificial intelligence;
(B) adoption and enforcement of policies on the ethical use
of artificial intelligence systems; and
(C) the identification and mitigation of bias in artificial
intelligence...
...rtificial intelligence;
(B) adoption and enforcement of policies on the ethical use
of artificial intelligence systems; and
(C) the identification and mitigation of bias in artificial
intelligence algorithms;
(3) issue Department-wide guidance regarding--
(A) methods to monitor acco...
...trics;
(B) means to enforce and update ethics policy and
guidelines across all adopted artificial intelligence
systems; and
(C) means to identify, monitor, and mitigate bias in
artificial intelligence algorithms;
(4) develop a strategic plan for the development, use, and
cybers...
...l intelligence
systems; and
(C) means to identify, monitor, and mitigate bias in
artificial intelligence algorithms;
(4) develop a strategic plan for the development, use, and
cybersecurity of generative artificial intelligence,
including a policy for use of, and defense against
...
... (4) develop a strategic plan for the development, use, and
cybersecurity of generative artificial intelligence,
including a policy for use of, and defense against
adversarial use of, generative artificial intelligence;
(5) assess technical workforce needs across the future
years defen...
...ence,
including a policy for use of, and defense against
adversarial use of, generative artificial intelligence;
(5) assess technical workforce needs across the future
years defense plan to support the continued development of
artificial intelligence capabilities, including recruitment
...
...orce needs across the future
years defense plan to support the continued development of
artificial intelligence capabilities, including recruitment
and retention policies and programs;
(6) assess the availability and adequacy of the basic
artificial intelligence training and education curric...
...retention policies and programs;
(6) assess the availability and adequacy of the basic
artificial intelligence training and education curricula
available to the broader Department civilian workforce and
military personnel to promote artificial intelligence
literacy to the nontechnical workfo...
... available to the broader Department civilian workforce and
military personnel to promote artificial intelligence
literacy to the nontechnical workforce and senior leadership
with responsibilities adjacent to artificial intelligence
technical development;
(7) develop and issue a timeline...
...iteracy to the nontechnical workforce and senior leadership
with responsibilities adjacent to artificial intelligence
technical development;
(7) develop and issue a timeline and guidance for the Chief
Digital and Artificial Intelligence Officer of the Department
and the Secretaries of the mi...
...t
and the Secretaries of the military departments to establish
a common terminology for artificial intelligence-related
activities;
(8) develop and implement a plan to protect and secure the
integrity, availability, and privacy of artificial
intelligence systems and models, including l...
... officials to protect the intellectual property of commercial
entities that provide their artificial intelligence
algorithms to a Department repository established pursuant to
section 232 of the National Defense Authorization Act for
Fiscal Year 2022 (Public Law 117-81; 10 U.S.C. 4001 note),
...
...uations
in which government and commercial intellectual property may
be mixed when such artificial intelligence algorithms are
deployed in an operational environment;
(12) issue guidance and directives for how the Chief
Digital and Artificial Intelligence Officer of the Department
will...
...ce on the instances for and role of
human intervention and oversight in the exercise of
artificial intelligence algorithms for use in the generation
of offensive or lethal courses of action for tactical
operations.
(b) Due Date for Procedures, Guidance, Plans, Assessment,
and Timelines...
...ces used in shipyards to make operations more efficient
and demonstrate a digital maintenance artificial intelligence
platform that analyzes data on the maintenance and health of
shipboard assets of the Navy at shipyards, which shall
improve readiness of the Armed Forces, predict and diagnose
...
...assets of the Navy with
sufficient data available to enable near-term demonstrations
of artificial intelligence predictive maintenance and an
estimate of resources needed within the Navy to accelerate
the demonstration of predictive artificial intelligence
capabilities with respect to those a...
... estimate of resources needed within the Navy to accelerate
the demonstration of predictive artificial intelligence
capabilities with respect to those assets; and
(4) an identification of any policy or technical challenges
to implementing artificial intelligence or machine learning
for pur...
...ssets; and
(4) an identification of any policy or technical challenges
to implementing artificial intelligence or machine learning
for purposes of carrying out the Shipyard Infrastructure
Optimization Program.
(c) Briefing to Committee.--Not later than 180 days after
the date of the e...
...nment and commercial standards.
(7) Ensuring that requirements processes for software,
artificial intelligence, data, and related capability areas
enable a rapid, dynamic, and iterative approach than
traditional hardware systems.
(c) Elements.--The implementation of streamlined
requir...
...mechanisms
[[Page S3218]]
aligned with the work roles related to computer programming,
artificial intelligence and machine learning competency, and
software engineering under the Department of Defense Cyber
Workforce Framework to allow for the military departments to
identify, assess, track,...
... identify, assess, track, manage, and assign personnel with
computer programming, coding, and artificial intelligence
skills through established mechanisms, under the policies of
the military departments with respect to career field
management, including--
(i) development, modification, or r...
...to provide a
workforce capable of conducting computer programming,
software coding, and artificial intelligence activities,
including by meeting related manning, systems, training, and
other related funding requirements.
(e) Strategy and Implementation Plans.--
(1) In general.--Not la...
...al
or nontechnical occupational position that supports computer
programming, coding, or artificial intelligence operations
and development, including the following positions:
(A) Data scientists.
(B) Data engineers.
(C) Data analysts.
(D) Software developers.
(E) Machin...
...evelopment initiatives
with a focus on emerging technologies such as quantum
computing, artificial intelligence, and machine learning,
including through the work of the Defence Innovation
Accelerator for the North Atlantic initiative (commonly known
as ``DIANA'');
(10) the European Det...
... of Japan; and
(E) enhancing cooperation on advanced technology
initiatives, including artificial intelligence, cyber, space,
undersea, hypersonic, and related technologies.
(2) An analysis of the feasibility and advisability of--
(A) increasing combined planning efforts between the United...
... with the Department of Defense, with priority given
to projects in the areas of--
(A) artificial intelligence;
(B) undersea domain awareness;
(C) air combat and support;
(D) munitions; and
(E) mobility.
(2) Eligibility to enter into reciprocal agreements with
the Depa...
... intelligence capabilities; and
``(ii) the need for automated and machine learning- or
artificial intelligence-assisted electronic warfare
capabilities.
``(C) Order of battle.
``(D) Individual and unit training.
``(E) Tactics, techniques, and procedures, including--
``(i) man...
...at modeling to
ensure the ability to emulate advanced nation-state threats,
automation, artificial intelligence or machine learning
capabilities, and data collection and correlation;
(2) to establish joint service standards and metrics to
ensure cyber red teams are adequately trained, staffe...
...ntage.
(2) The extent to which critical and emerging technologies
and concepts such as artificial intelligence and machine
learning enabled analysis and process automation can reduce
the amount of person hours operators spend on maintenance and
reporting to maximize research and training tim...
... (2) The term ``digital content forgery'' means the use of
emerging technologies, including artificial intelligence and
machine learning techniques to fabricate or manipulate audio,
visual, or text content with the intent to mislead.
(3) The term ``digital content provenance'' means the
ve...
... TECHNOLOGIES.
.................................. Tactical artificial intelligence [5,000]
and machine learning.
31 0603041A ALL DOMAIN CONVERGENCE ADVANCED 33,332...
...l Services of the House of
Representatives a report on its gap in knowledge relating to
artificial intelligence, including an analysis on--
(1) which tasks are most frequently being assisted or
completed with artificial intelligence in the institutions
the agency regulates;
(2) curren...
... an analysis on--
(1) which tasks are most frequently being assisted or
completed with artificial intelligence in the institutions
the agency regulates;
(2) current governance standards in place for artificial
intelligence use at the agency and current standards in place
for artificia...
... place for artificial
intelligence use at the agency and current standards in place
for artificial intelligence oversight by the agency;
(3) potentially additional regulatory authorities required
by the agency to continue to successfully execute its
mission;
(4) where artificial intel...
...equired
by the agency to continue to successfully execute its
mission;
(4) where artificial intelligence may lead to overlapping
regulatory issues between agencies that require
clarification;
(5) how the agency is currently using artificial
intelligence, how the agency plans to ...
...etary or other resources, if any,
the agency requires to both adapt to the changes that
artificial intelligence will bring to the regulatory
landscape and to adequately adopt and oversee the use of
artificial intelligence across its operations described in
paragraph (5).
(b) Rule of Co...
...e will bring to the regulatory
landscape and to adequately adopt and oversee the use of
artificial intelligence across its operations described in
paragraph (5).
(b) Rule of Construction.--Nothing in this section may be
construed to require an agency to include confidential
supervisory...
...te with the heads of
other government agencies that have expertise in
cybersecurity and artificial intelligence.
(3) Implementation authorized.--The Chief may carry out the
program developed pursuant to subsection (a).
(4) Contracts.--The Secretary of Defense shall ensure, as
may be a...
...ing in this subsection shall
be construed to require--
(A) the use of any foundational artificial intelligence
model; or
(B) the implementation of the program developed pursuant to
paragraph (1) in order for the Department to incorporate a
foundational artificial intelligence model.
...
...ped pursuant to
paragraph (1) in order for the Department to incorporate a
foundational artificial intelligence model.
(b) Briefing.--Not later than one year after the date of
the enactment of this Act, the Chief shall provide the
congressional defense committees a briefing on--
(1) t...
...ties
to the privacy, security, and
[[Page S3356]]
accuracy of, and capacity to assess, artificial intelligence-
enabled military applications, as well as research and
development needs for such applications.
(b) Elements.--The study required by subsection (a) shall
cover the following:...
...ks to the privacy, security,
and accuracy of underlying architectures and algorithms of
artificial intelligence-enabled military applications,
including the following:
(A) Individual foundational artificial intelligence models,
including the adequacy of existing testing, training, and
...
...ce-enabled military applications,
including the following:
(A) Individual foundational artificial intelligence models,
including the adequacy of existing testing, training, and
auditing for such models to ensure models can be properly
assessed over time.
(B) The interactions of multip...
... to ensure models can be properly
assessed over time.
(B) The interactions of multiple artificial intelligence-
enabled military applications, and the ability to detect and
assess new, complex, and emergent behavior amongst individual
agents, as well as the collective impact, including how su...
...perational constraints to ensure
such decision support systems that are integrated with
artificial intelligence-enabled military applications are
able to adhere to the Department of Defense Ethical
Principles for Artificial Intelligence.
(4) Identification of existing artificial intelligence...
...Defense Ethical
Principles for Artificial Intelligence.
(4) Identification of existing artificial intelligence
metrics, developmental, testing and audit capabilities,
personnel, and infrastructure within the Department of
Defense, including test and evaluation facilities, needed to
ena...
...ing and
interoperability strategy that supports effective development
and employment of artificial intelligence-enabled military
applications.
(6) A detailed assessment of the implementation of the
Department of Defense Data Strategy issued in 2020, as well
as the use of data decrees t...
...inancial inclusion and
digital workforce skills, and develop rules to govern the use
of artificial intelligence and other emerging and future
technologies.
(b) Sense of the Senate.--It is the sense of the Senate
that--
(1) the United States should negotiate strong, inclusive,
fo...
... ``(A) to evaluate, oversee, and, if appropriate, facilitate
the responsible adoption of artificial intelligence (AI) and
machine learning applications to help inform decisions by
policymakers and to support programs and management
operations of the Department of State; and
``(B) to act...
...ge, complex organizations.
``(4) Partner with the chief information officer on scaling
artificial intelligence use cases.--To ensure alignment
between the Chief Artificial Intelligence Officer and the
Chief Information Officer, the Chief Information Officer will
consult with the Chief Artifi...
...re applications.
``(5) Artificial intelligence defined.--In this subsection,
the term `artificial intelligence' has the meaning given the
term in section 238(g) of the National Defense Authorization
Act for Fiscal Year 2019 (Public Law 115-232; 10 U.S.C. 4001
note).''.
SEC. 6304. STREN...
... (B) Pillar Two-related technologies, including hypersonic
missiles, cyber capabilities, artificial intelligence,
quantum technologies, undersea capabilities, and other
advanced technologies.
(3) Expedited decision-making.--Review of a transfer under
the policy established under paragra...
...ress a strategy on
collaborating with United States persons who are developing
dual-use artificial intelligence products, including
foundation models, in order to share cybersecurity and cyber
threat information, provide network security and threat
mitigation guidance, and provide cyber assis...
...threat
mitigation guidance, and provide cyber assistance to persons
developing dual-use artificial intelligence products upon
request.
(b) Collaboration With Other Agencies.--The Director may
collaborate with such government agencies with expertise in
cybersecurity and artificial intel...
...ector may
collaborate with such government agencies with expertise in
cybersecurity and artificial intelligence as the Director
considers appropriate for the development of the strategy
required by subsection (a) and any future implementation of
such strategy.
(c) Funding.--Funding use...
...232; 10 U.S.C. note prec. 4061) is
amended to read as follows:
``(3) Chief digital and artificial intelligence officer
governing council.--
``(A) Establishment.--(i) The Secretary shall establish a
council to provide policy oversight to ensure the
responsible, coordinated, and ethical...
...cy oversight to ensure the
responsible, coordinated, and ethical employment of data and
artificial intelligence capabilities across Department of
Defense missions and operations.
``(ii) The council established pursuant to clause (i) shall
be known as the `Chief Digital and Artificial Intelli...
...s:
``(i) To streamline the organizational structure of the
Department as it relates to artificial intelligence
development, implementation, and oversight.
``(ii) To improve coordination on artificial intelligence
governance with the defense industry sector.
``(iii) To establish and o...
...lligence
development, implementation, and oversight.
``(ii) To improve coordination on artificial intelligence
governance with the defense industry sector.
``(iii) To establish and oversee artificial intelligence
guidance on ethical requirements and protections for usage of
artificial...
...lligence
governance with the defense industry sector.
``(iii) To establish and oversee artificial intelligence
guidance on ethical requirements and protections for usage of
artificial intelligence supported by Department funding and
reduces or mitigates instances of unintended bias in
...
...e artificial intelligence
guidance on ethical requirements and protections for usage of
artificial intelligence supported by Department funding and
reduces or mitigates instances of unintended bias in
artificial intelligence algorithms.
``(iv) To identify, monitor, and periodically update
...
...upported by Department funding and
reduces or mitigates instances of unintended bias in
artificial intelligence algorithms.
``(iv) To identify, monitor, and periodically update
appropriate recommendations for operational usage of
artificial intelligence.
``(v) To review, as the head o...
..., monitor, and periodically update
appropriate recommendations for operational usage of
artificial intelligence.
``(v) To review, as the head of the Council considers
necessary, artificial intelligence program funding to ensure
that any Department investment in an artificial intelligence
...
...ificial intelligence.
``(v) To review, as the head of the Council considers
necessary, artificial intelligence program funding to ensure
that any Department investment in an artificial intelligence
tool, system, or algorithm adheres to all Department
established policy related to artificial ...
...ssary, artificial intelligence program funding to ensure
that any Department investment in an artificial intelligence
tool, system, or algorithm adheres to all Department
established policy related to artificial intelligence.
``(vi) To provide periodic status updates on the efforts of
the De...
...ence
tool, system, or algorithm adheres to all Department
established policy related to artificial intelligence.
``(vi) To provide periodic status updates on the efforts of
the Department to develop and implement artificial
intelligence into existing Department programs and processes.
...
...am for the purpose of
familiarizing the Department at all levels on the
applications of artificial intelligence in their operations.
``(ix) To implement and oversee a data decree scorecard.
``(x) Such other duties as the Council determines
appropriate.
``(F) Periodic reports.--Not la...
... (B) Pillar Two-related technologies, including hypersonic
missiles, cyber capabilities, artificial intelligence,
quantum technologies, undersea capabilities, and other
advanced technologies.
(3) Expedited decision-making.--Review of a transfer under
the policy established under paragra...
...entification of any policy or technical challenges
to implementing artificial intelligence or machine learning
for purposes of carrying out the Shipyard Infrastructure
Optimization Program.
(c) Briefing to Committee.--Not later than 180 days after
the date of the enactment of this Act...
... aligned with the work roles related to computer programming,
artificial intelligence and machine learning competency, and
software engineering under the Department of Defense Cyber
Workforce Framework to allow for the military departments to
identify, assess, track, manage, and assign p...
...with a focus on emerging technologies such as quantum
computing, artificial intelligence, and machine learning,
including through the work of the Defence Innovation
Accelerator for the North Atlantic initiative (commonly known
as ``DIANA'');
(10) the European Deterrence Initiative rem...
...ctronic warfare and signals intelligence capabilities; and
``(ii) the need for automated and machine learning- or
artificial intelligence-assisted electronic warfare
capabilities.
``(C) Order of battle.
``(D) Individual and unit training.
``(E) Tactics, techniques, and proced...
... the ability to emulate advanced nation-state threats,
automation, artificial intelligence or machine learning
capabilities, and data collection and correlation;
(2) to establish joint service standards and metrics to
ensure cyber red teams are adequately trained, staffed, and
equippe...
...forgery'' means the use of
emerging technologies, including artificial intelligence and
machine learning techniques to fabricate or manipulate audio,
visual, or text content with the intent to mislead.
(3) The term ``digital content provenance'' means the
verifiable chronology of the ...
...l intelligence [5,000]
and machine learning.
31 0603041A ALL DOMAIN CONVERGENCE ADVANCED 33,332 33,332
TECHNOLOGY.
32 0603042A ...
...
analysis.
(4) While innovative technologies such as artificial
intelligence and machine learning have the potential to
empower the Department to analyze and act upon data at scale,
systematized, sustainable data management and information
synthesis remain a core competency nece...
...if appropriate, facilitate
the responsible adoption of artificial intelligence (AI) and
machine learning applications to help inform decisions by
policymakers and to support programs and management
operations of the Department of State; and
``(B) to act as the principal advisor to the...
...ill and
competency in--
``(A) the use and application of data analytics, AI, and
machine learning; and
``(B) transformational leadership and organizational change
management, particularly within large, complex organizations.
``(4) Partner with the chief information officer on ...
... (1) Enterprise level technical standards and protocols.
(2) Artificial intelligence and machine learning
technologies.
(3) Data requirements.
(4) Advanced communications technologies.
(5) Networking technologies.
(6) Enterprise and edge cloud technologies.
(7) In...
...authority
under this section does not include major defense acquisition
programs, major automated information system programs, or
acquisitions of foundational infrastructure or software
architectures the duration of which is expected to last more
than five years.
SEC. 804....
...oductivity software suite of
the congressional defense committees; or
(2) enabling the automated transmission of scheduling data
through another software solution.
SEC. 925. OPERATIONALIZING AUDIT READINESS.
(a) Metrics Required.--
(1) In general.--The Secretary of Def...
...o existing data sets;
``(B) current means and methods for the collection of data
in an automated manner, including the identification of areas
in which gaps exist that may require new means for data
collection or visualization of such data; and
``(C) the development of an anal...
...tric
electronic warfare and signals intelligence capabilities; and
``(ii) the need for automated and machine learning- or
artificial intelligence-assisted electronic warfare
capabilities.
``(C) Order of battle.
``(D) Individual and unit training.
``(E) Tactics, t...
...to ensure
that any Department investment in an artificial intelligence
tool, system, or algorithm adheres to all Department
established policy related to artificial intelligence.
``(vi) To provide periodic status updates on the efforts of
the Department to develop and implement...
4840 results:
Summary: The bill authorizes appropriations for the Department of Defense and other military activities for fiscal year 2024, focusing on military readiness, personnel policies, and innovative technology procurement.
Collection: Congressional Record
Status date: July 19, 2023
Status: Issued
Source: Congress
Category:
Societal Impact
Data Governance
System Integrity
Data Robustness (see reasoning)
Sector:
Government Agencies and Public Services
Judicial system
Private Enterprises, Labor, and Employment
Academic and Research Institutions
Hybrid, Emerging, and Unclassified (see reasoning)
Keywords (occurrence): artificial intelligence (124) machine learning (15) automated (21) algorithm (1) show keywords in context
Societal Impact
Data Governance
System Integrity
Data Robustness (see reasoning)
This text discusses the National Defense Authorization Act for Fiscal Year 2024, which includes several references to artificial intelligence (AI) and its applications within the Department of Defense (DoD). It explicitly mentions AI in the context of research, acquisition strategies, and innovative technologies, particularly in regards to procurement and the development of new capabilities. The provisions pertaining to AI could have significant implications for various social factors, including economic implications of military-related AI development. Additionally, the text addresses the need for secure data governance and system integrity as AI systems are implemented in military operations, although the connections are not as pronounced in the available excerpts. These aspects tie into the relevance categories as AI's use in military contexts raises various social impact considerations and necessitates robust data governance and system integrity measures to ensure operational readiness and ethical deployment of AI technologies.
Sector:
Government Agencies and Public Services
Judicial system
Private Enterprises, Labor, and Employment
Academic and Research Institutions
Hybrid, Emerging, and Unclassified (see reasoning)
The text is relevant to several sectors, particularly the Government Agencies and Public Services sector, given its focus on the Department of Defense and military operations. It also touches on the Private Enterprises, Labor, and Employment sector as discussions about procurement and technology adoption have implications for both defense contractors and the workforce involved in AI development. Some implications might extend into the Judicial System, especially in contexts of oversight and policy implications of AI use in defense. However, AI's mention is primarily within military applications rather than being directly applicable to sectors like Healthcare or Politics and Elections. Nevertheless, due to the governance and ethical implications of AI utilization, it retains moderate relevance across several sectors.
Keywords (occurrence): artificial intelligence (124) machine learning (15) automated (21) algorithm (1) show keywords in context
Summary: The bill outlines procedures for the management of hazardous materials and firearms within federal agencies, ensuring proper destruction, labeling, and disposal to comply with safety regulations.
Collection: Code of Federal Regulations
Status date: July 1, 2023
Status: Issued
Source: Office of the Federal Register
Category:
None
(see reasoning)
Sector: None (see reasoning)
Keywords (occurrence): automated (1) show keywords in context
The text primarily discusses the handling, destruction, reassignment, and disposal of firearms and hazardous materials. It does not mention Artificial Intelligence, algorithms, or any of the specific keywords associated with AI. Therefore, none of the categories related to AI's social impact, data governance, system integrity, or robustness are applicable. The focus is strictly on regulations regarding firearms and hazardous waste management, which are unrelated to AI technologies and their implications.
Sector: None (see reasoning)
The text also does not relate to any specific sector defined in the context of AI. It addresses federal management of hazardous materials and firearms rather than discussing the use or regulation of AI technologies within any sectors such as politics, healthcare, or enterprises. Consequently, there is no relevance to any of the listed sectors as the content is exclusively about compliance and management protocols for hazardous materials and firearms.
Keywords (occurrence): automated (1) show keywords in context
Summary: The bill initiates a series of bipartisan forums in the Senate to discuss artificial intelligence, focusing on balancing innovation with ethical safeguards to address potential issues.
Collection: Congressional Record
Status date: Sept. 7, 2023
Status: Issued
Source: Congress
Category:
Societal Impact
Data Governance
System Integrity (see reasoning)
Sector:
Politics and Elections
Government Agencies and Public Services (see reasoning)
Keywords (occurrence): artificial intelligence (2) show keywords in context
Societal Impact
Data Governance
System Integrity (see reasoning)
The text discusses a significant forum on artificial intelligence (AI) in the Senate, indicating the importance of understanding and implementing AI policies. Key elements address both the advancement of AI technologies and the necessity for guardrails to mitigate associated issues, which directly relates to the impact of AI on society, including concerns over privacy, racial bias, and the risks posed by AI technologies. This aligns closely with the 'Social Impact' category, as it underscores the need for consumer protections and safeguards against potential harm from AI systems. Additionally, the text hints at the need for responsible data governance and system integrity to manage AI development and its implications effectively. However, the emphasis on advancements and discussions rather than explicit legislation makes the document less relevant to 'Robustness' and 'System Integrity'. Therefore, the scores reflect varying levels of relevance, with the greatest emphasis on social impact, closely followed by aspects of data governance.
Sector:
Politics and Elections
Government Agencies and Public Services (see reasoning)
The text focuses on AI discussions within the Senate and does not specify the application of AI in particular sectors such as healthcare, the judicial system, or others. While it alludes to AI's implications in diverse areas (e.g., national security, medication, communications), it does not detail how AI is regulated or utilized in those specific sectors. Therefore, 'Government Agencies and Public Services' could be slightly relevant given the legislative context, but overall relevance to sectors is lower. The bipartisan effort indicated suggests some connection to 'Politics and Elections' but does not delve into electoral processes or regulations therein. Consequently, while there are references to several sectors, the relevance is moderate at best.
Keywords (occurrence): artificial intelligence (2) show keywords in context
Summary: The bill establishes a United States-Israel Artificial Intelligence Center to enhance technology cooperation in AI, while ensuring compliance with national security and export controls.
Collection: Congressional Record
Status date: July 18, 2023
Status: Issued
Source: Congress
Category:
Societal Impact
Data Governance
System Integrity
Data Robustness (see reasoning)
Sector:
Government Agencies and Public Services
Private Enterprises, Labor, and Employment
Academic and Research Institutions
International Cooperation and Standards (see reasoning)
Keywords (occurrence): artificial intelligence (5) machine learning (1) show keywords in context
Societal Impact
Data Governance
System Integrity
Data Robustness (see reasoning)
This text discusses the establishment of a U.S.-Israel Artificial Intelligence Center, which is directly related to the development and regulation of AI technologies. The text emphasizes collaboration in various AI domains like machine learning, natural language processing, and model explainability. It also mentions adherence to principles for the use of AI that prioritize values such as privacy and civil rights. The potential impact on society, especially regarding international partnerships and technological cooperation, aligns with all four categories. However, the strongest connections are to the Social Impact and Data Governance categories due to the emphasis on ethical standards and potential societal benefits.
Sector:
Government Agencies and Public Services
Private Enterprises, Labor, and Employment
Academic and Research Institutions
International Cooperation and Standards (see reasoning)
The text's focus on establishing an international cooperation center for AI directly correlates with sectors like Government Agencies and Public Services, as it involves federal agency collaborations. It also pertains to International Cooperation and Standards as it discusses partnerships with Israel and the implications of engaging with foreign nations. The mention of AI technologies and their governance further ties the text to the Private Enterprises, Labor, and Employment sector as it implies potential technology development that may impact businesses. However, the most significant relevance is for Government Agencies and International Cooperation.
Keywords (occurrence): artificial intelligence (5) machine learning (1) show keywords in context
Summary: The bill establishes security requirements and guidelines for handling Veterans Affairs (VA) information and systems, particularly focusing on protecting sensitive personal information and ensuring compliance with HIPAA regulations by contractors and associates.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register
Category:
Data Governance
System Integrity (see reasoning)
Sector:
Government Agencies and Public Services (see reasoning)
Keywords (occurrence): automated (1) show keywords in context
Data Governance
System Integrity (see reasoning)
The text discusses information and information systems security requirements but does not explicitly address the aspects of AI technology or the implications of AI systems on society, privacy, or operational integrity. Therefore, it does not fall under Social Impact as there are no references to AI-related societal issues or effects. It partially touches upon Data Governance through the regulations regarding the protection and management of sensitive data (e.g., PHI), which could include AI data usage, but the primary focus is not on AI-specific data governance principles. There are references to system integrity in terms of security controls and data management protocols, reflecting aspects of oversight but lacks direct mention of AI performance or systemic controls. Lastly, the text does not engage with the concept of robustness or benchmarks specific to AI performance. Overall, while elements of the text are relevant to data protection and security, they do not strongly correlate with the legislative focus on AI systems.
Sector:
Government Agencies and Public Services (see reasoning)
The text applies largely to the management and regulation of information and information systems security for the Department of Veterans Affairs, which could relate to various sectors but does not specifically align with any sector focusing on AI use. The references to privacy and data security do have applicability to Government Agencies and Public Services but do not directly address the role of AI within these contexts. There is also some indirect relevance to the Healthcare sector because of the mention of protected health information (PHI) under HIPAA; however, it doesn't discuss the use of AI technologies in healthcare practices. Given that the text does not cleanly categorize into any single sector but rather exists in an administrative capacity regarding information handling, its overall relevance remains limited.
Keywords (occurrence): automated (1) show keywords in context
Summary: H.R. 5077 aims to establish the National Artificial Intelligence Research Resource, asserting congressional authority under Article I, Section 8 of the Constitution.
Collection: Congressional Record
Status date: July 28, 2023
Status: Issued
Source: Congress
Category:
None
(see reasoning)
Sector:
Academic and Research Institutions (see reasoning)
Keywords (occurrence): artificial intelligence (1)
The text references the establishment of a National Artificial Intelligence Research Resource, which directly relates to artificial intelligence. However, the text lacks any discussion on the social implications, data governance, system integrity, or robustness of AI as it primarily focuses on the legislative authority and goals without going into detail about the impacts or management of AI systems. Thus, while it mentions AI, it does not sufficiently address how it fits within the broader legislative framework concerning social, data, system integrity, or performance concerns.
Sector:
Academic and Research Institutions (see reasoning)
The reference to the National Artificial Intelligence Research Resource indicates a relationship to research and development in the realm of AI, suggesting relevance to government operations and public service enhancement. However, the text is primarily legislative in nature, with no specific applications or implications discussed for any sector except possibly the academic institutions involved in research. As such, the sector relevance scores reflect only slight connections, particularly to the academic sector.
Keywords (occurrence): artificial intelligence (1)
Description: Social media algorithms that target children prohibited.
Summary: The bill prohibits social media algorithms from targeting content at users under 18 in Minnesota, aiming to protect children from harmful online experiences.
Collection: Legislation
Status date: Feb. 9, 2023
Status: Introduced
Primary sponsor: Kristin Robbins
(14 total sponsors)
Last action: Author added Bakeberg (April 4, 2024)
Category:
Societal Impact (see reasoning)
Sector:
Government Agencies and Public Services
Academic and Research Institutions (see reasoning)
Keywords (occurrence): algorithm (5) show keywords in context
Societal Impact (see reasoning)
The text primarily focuses on prohibiting social media algorithms from targeting children under 18, which has significant implications for social justice and welfare. It discusses accountability for algorithmic practices that could lead to harm against minors, thus making it highly relevant to the Social Impact category. The mention of 'social media algorithms' and how they dictate content based on user engagement metrics highlights the importance of ethical considerations in AI's societal application. There are no explicit references to data governance, system integrity, or robustness, as the focus is on the impact this legislation would have on children and consumer protections.
Sector:
Government Agencies and Public Services
Academic and Research Institutions (see reasoning)
The legislation relates explicitly to the use of AI in social media platforms, particularly around how they employ algorithms to curate content for minors. Therefore, the most relevant sector is Government Agencies and Public Services as it touches upon regulatory frameworks that affect digital platforms which serve the public. It also aligns with academic developments in understanding the effects of AI technologies on young users. However, it does not specifically deal with political elections, healthcare, or the judicial system; hence the lower scores in those sectors. Overall, it is primarily focused on children's protection and regulation, relevant to governance and public services.
Keywords (occurrence): algorithm (5) show keywords in context
Summary: The bill requires states to submit an annual report on their TANF and maintenance of effort programs, detailing work activities, services provided, domestic violence support, and compliance procedures.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register
Category:
None
(see reasoning)
Sector: None (see reasoning)
Keywords (occurrence): automated (1) show keywords in context
The text primarily discusses information that states must file concerning the TANF program and other financial assistance measures. There is no explicit discussion or mention of AI technologies, their impact, data governance, system integrity, or robustness pertaining to AI. The focus is specifically on state compliance and reporting structures without any reference to automation or AI-driven systems that could relate to any of the categories. Therefore, all categories score low in relevance.
Sector: None (see reasoning)
The text does not mention AI applications or regulations related to AI in any sector, including politics, government services, healthcare, or employment. It strictly deals with administrative and compliance issues about financial aid programs, without referencing how AI might interact or influence these areas. Thus, it is not relevant to any of the predefined sectors.
Keywords (occurrence): automated (1) show keywords in context
Summary: This bill aims to address the fentanyl crisis by investigating and combating the flow of this drug from Mexico into the U.S., emphasizing the role of transnational criminal organizations and inadequate immigration enforcement.
Collection: Congressional Hearings
Status date: July 12, 2023
Status: Issued
Source: House of Representatives
Category:
None
(see reasoning)
Sector: None (see reasoning)
Keywords (occurrence): artificial intelligence (1) automated (1) show keywords in context
The text discusses the ongoing fentanyl crisis and the responsibilities of various government agencies in mitigating the risks associated with drug trafficking. However, it lacks any explicit mention of AI technologies or issues directly related to AI such as algorithms, machine learning, or automated decision-making processes. Thus, it doesn't directly fit any of the categories focused on legislation related to AI, leading to the conclusion that it is not relevant to those categories.
Sector: None (see reasoning)
The text primarily deals with drug trafficking and the violence associated with it, presenting testimonies and discussions around law enforcement and border security. There are no indications that AI is utilized or discussed in any governmental or law enforcement capacity with regard to the enforcement or prevention of fentanyl trafficking in this document. As such, it does not align with the designated sectors. Therefore, it scores a 1 across all sector categories.
Keywords (occurrence): artificial intelligence (1) automated (1) show keywords in context
Summary: The bill establishes observer fee requirements for shoreside processors and vessels in federal fisheries, detailing fee liability calculations and payment processes to support fishery monitoring.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register
Category:
None
(see reasoning)
Sector: None (see reasoning)
Keywords (occurrence): automated (1) show keywords in context
The text predominantly focuses on fees related to observer coverage in fisheries management, with no direct references to Artificial Intelligence or related terminologies. It discusses permit compliance, fee liability determination, and processes tied to fisheries regulations. Hence, the categories assessing social impact, data governance, system integrity, or robustness do not apply, as they require a connection to AI systems, their governance, or implications. Thus, all category scores remain at the lowest level of relevance.
Sector: None (see reasoning)
Similarly, the text does not address AI applications within political processes, government functions, the judicial system, healthcare, or other specified sectors. The content is specifically oriented towards fisheries management, making it irrelevant to the sectors provided. Therefore, each sector gets a score indicating no relevance.
Keywords (occurrence): automated (1) show keywords in context
Summary: The bill establishes a cost recovery program for the Amendment 80 fishing sector, requiring annual economic data reports and fee submissions, along with related compliance measures for cooperative representatives.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register
Category:
None
(see reasoning)
Sector: None (see reasoning)
Keywords (occurrence): automated (1) show keywords in context
The text provided primarily pertains to regulations around fishing practices and cost recovery related to the Amendment 80 Program. There are no references to AI technologies or their implications, such as automated decision-making systems or algorithmic processes in compliance management. Thus, it is considered not relevant to any of the defined categories, which hinge on AI-related legislation.
Sector: None (see reasoning)
The text mainly concerns regulations specific to fisheries management and cost recovery pertaining to Amendment 80. There are no mentions of AI applications, usage in governmental functions, judicial matters, healthcare systems, or employment practices. Therefore, it is not relevant to any of the listed sectors.
Keywords (occurrence): automated (1) show keywords in context
Summary: The bill outlines agency-head responsibilities for procurement planning, emphasizing effective competition, use of commercial products, and compliance with environmental and security standards to enhance acquisition processes.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register
Category:
None
(see reasoning)
Sector: None (see reasoning)
Keywords (occurrence): automated (1) show keywords in context
This text primarily focuses on the responsibilities of agency heads regarding acquisition planning for government contracts. It emphasizes competition, documentation, and ensuring effective procurement processes. However, it does not explicitly address aspects related to AI, such as how AI systems or automated decision-making may influence or integrate into acquisition procedures. Thus, it lacks direct relevance to any of the specified categories, which all have a specific focus on AI and its impact. Therefore, the scores are low across all categories.
Sector: None (see reasoning)
The text relates to the federal acquisition processes, outlining the responsibilities of agency heads in promoting competition and effective contracting. Yet, it does not specifically address the intersections with the sectors outlined, such as healthcare, government services, or any other sector where AI application might be of significance. Hence, the relevance to each sector is minimal. All scores reflect this lack of specific engagement with AI-related sectors.
Keywords (occurrence): automated (1) show keywords in context
Summary: The bill addresses the use and regulation of autonomous and experimental maritime technologies, focusing on their commercial and Coast Guard applications while ensuring safety through necessary regulatory changes.
Collection: Congressional Hearings
Status date: Sept. 19, 2023
Status: Issued
Source: House of Representatives
Category:
Societal Impact
Data Governance
System Integrity
Data Robustness (see reasoning)
Sector:
Government Agencies and Public Services
Private Enterprises, Labor, and Employment
Academic and Research Institutions
International Cooperation and Standards (see reasoning)
Keywords (occurrence): artificial intelligence (6) machine learning (3) automated (11) algorithm (1) show keywords in context
Societal Impact
Data Governance
System Integrity
Data Robustness (see reasoning)
This document discusses various aspects of autonomous technologies, particularly focusing on maritime applications. As autonomous systems become more prevalent in the maritime sector, the implications for society, data governance, system integrity, and robustness come into play. There are clear connections to the Social Impact category as it explores the implications of these technologies on safety, operational risks, and legal frameworks, which could affect individuals and communities. Data Governance is relevant due to the need for accurate data management and regulatory standards associated with these technologies. System Integrity is essential since the document covers regulatory standards and safety requirements to ensure these systems operate reliably and securely. Lastly, Robustness ties into the continuous need for developing benchmarks and regulations as the technology evolves.
Sector:
Government Agencies and Public Services
Private Enterprises, Labor, and Employment
Academic and Research Institutions
International Cooperation and Standards (see reasoning)
The text addresses the role of AI technologies in the maritime industry, including unmanned and autonomous vessels. It discusses regulatory issues, innovations, and safety standards which directly impact not only government agencies (in terms of regulation and oversight) but also influences private enterprises involved in the development and operation of these technologies. The legislation could also be relevant for international cooperation, given that regulations may align with international standards from the International Maritime Organization (IMO) regarding autonomous vessels. The text does not explicitly address sectors like Healthcare, Politics and Elections, or Nonprofits. However, there are definite implications for Government Agencies and Public Services due to the Coast Guard's operations dealing with these technologies.
Keywords (occurrence): artificial intelligence (6) machine learning (3) automated (11) algorithm (1) show keywords in context
Summary: The bill addresses evolving security threats in a post-9/11 context, emphasizing the need for coordination among law enforcement and government agencies to enhance national safety and preparedness against terrorism and other dangers.
Collection: Congressional Hearings
Status date: Sept. 12, 2023
Status: Issued
Source: House of Representatives
Category:
None
(see reasoning)
Sector: None (see reasoning)
Keywords (occurrence): artificial intelligence (3) show keywords in context
The text focuses on the aspects of security and safety in the context of a post-9/11 world, with an emphasis on the evolving threat landscape. While there are mentions of threats such as cyber attacks, the text lacks explicit references to AI technologies or their impacts on society. Therefore, the connections to AI are marginal and not compelling enough to warrant a high relevance score across the categories. For Social Impact, the text indirectly discusses safety, but it doesn't provide specific references to AI's impact on individuals or society which lowers its score. Data Governance is equally irrelevant as no discussions surrounding data management or privacy as it relates to AI are present. System Integrity mentions cybersecurity but does not connect it to AI systems specifically. Robustness isn’t applicable because there are no benchmarks or standards for AI performance mentioned. Hence scores will reflect the lack of relevant content regarding AI.
Sector: None (see reasoning)
Although the text predominantly discusses post-9/11 security landscapes and evolving threats, it does not explicitly address the use or regulation of AI within specified sectors. The mentions of cybersecurity could suggest a connection to Emerging Technologies but lack direct mention of AI, placing it at a low relevance level across sectors. Politics and Elections are not covered, nor is the use of AI in Government Agencies, Judicial Systems, or Healthcare explicitly mentioned. The focus on more general threats limits applicability to sectors such as Private Enterprises, Labor, and Employment. The text could loosely apply to hybrid and emerging sectors due to discussions about technology and its implications. Nevertheless, the overall relevance in specified sectors remains minimal.
Keywords (occurrence): artificial intelligence (3) show keywords in context
Summary: The bill mandates Medicare Advantage organizations to report and return overpayments within 60 days, detailing the overpayment's amount and reason as identified by the CMS.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2021
Status: Issued
Source: Office of the Federal Register
Keywords (occurrence):
algorithm (1)
show keywords in context
Summary: The bill clarifies the obligations of transportation entities under the ADA, emphasizing reasonable modifications for passengers with disabilities to ensure equitable access to services and prevent discrimination.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register
Category:
None
(see reasoning)
Sector: None (see reasoning)
Keywords (occurrence): automated (3) show keywords in context
The text discusses reasonable modification requests for transportation services, focusing on accessibility issues as mandated by the ADA. However, there are no specific references to AI or related technologies within the text. The absence of language related to artificial intelligence, algorithmic processes, or automation indicates a low level of relevance to the predefined categories. Each category's connection is minimal at best, with no legislation aimed at societal impacts, data management, system integrity, or performance benchmarks related to AI technologies.
Sector: None (see reasoning)
The text primarily pertains to accessibility policies affecting individuals with disabilities in transportation settings. While this may relate to government agency operations, there is no explicit reference to the use, regulation, or implementation of AI within these contexts. Thus, sectors like Government Agencies and Public Services also do not exhibit any connection to AI.
Keywords (occurrence): automated (3) show keywords in context
Summary: The bill establishes pretreatment standards for new sources discharging wastewater pollutants into publicly owned treatment works, setting specific limits on pollutant characteristics like BOD, COD, and pH to protect water quality.
Collection: Code of Federal Regulations
Status date: July 1, 2023
Status: Issued
Source: Office of the Federal Register
Category:
None
(see reasoning)
Sector: None (see reasoning)
Keywords (occurrence): automated (1) show keywords in context
The text primarily details regulations regarding effluent standards related to wastewater treatment and does not explicitly mention or address issues pertinent to AI. As it focuses on environmental standards and not on AI systems and their impacts, it lacks relevance to the categories of Social Impact, Data Governance, System Integrity, and Robustness.
Sector: None (see reasoning)
Similarly, the text is focused on environmental regulation concerning the effluent from wastewater treatment connected to a specific industrial process. It does not touch upon the sectors that involve AI, such as Politics and Elections, Government Agencies, or any others. The focus is on manufacturing and environmental controls rather than any application of AI technology.
Keywords (occurrence): automated (1) show keywords in context
Summary: The bill emphasizes the need for transparency in U.S. investments in China, particularly in sectors impacting national security. It aims to counter threats from China by providing insights into investment flows and supporting strategic competition.
Collection: Congressional Record
Status date: Nov. 14, 2023
Status: Issued
Source: Congress
Category:
Societal Impact
Data Governance
System Integrity
Data Robustness (see reasoning)
Sector:
Government Agencies and Public Services
Judicial system
Private Enterprises, Labor, and Employment
International Cooperation and Standards (see reasoning)
Keywords (occurrence): artificial intelligence (4) show keywords in context
Societal Impact
Data Governance
System Integrity
Data Robustness (see reasoning)
The text discusses various aspects of U.S.-China relations, focusing heavily on the impact of artificial intelligence (AI) investments and technologies on national security. Given the reference to $221 billion in AI investments, the legislation advocating for transparency in outbound investments in AI sectors points towards significant concerns related to its implications. These factors show a clear focus on how AI could impact society and national security, placing it prominently in the Social Impact category. Moreover, the mention of developing AI technologies, their potential dual-use nature related to military applications, and the need for visibility and regulatory oversight aligns with concepts under Data Governance, System Integrity, and Robustness. Therefore, this submission covers characteristics relating to transparency, integrity, and accountability in AI applications, warranting medium to high relevance scores across these categories.
Sector:
Government Agencies and Public Services
Judicial system
Private Enterprises, Labor, and Employment
International Cooperation and Standards (see reasoning)
The text primarily focuses on the intersections of AI with national security, economic policy, and international relations, thus highlighting relevance to several sectors. The references to legislative actions aimed at overseeing AI investments and their implications for military capabilities indicate strong ties to Government Agencies and Public Services. While AI's implications for national security and potential vulnerabilities it introduces reflect considerations in Judicial System and Private Enterprises as well, the most significant emphasis is on how AI affects governmental strategic interests and international cooperation regarding technology investments. Therefore, this text bears high relevance for Government Agencies, moderate significance for Private Enterprises, and moderate relevance for International Cooperation. Other sectors such as Healthcare, Academic and Research Institutions, and Nonprofits and NGOs remain less relevant.
Keywords (occurrence): artificial intelligence (4) show keywords in context
Summary: This bill establishes an alternative procedure for measuring capture efficiency of hazardous air pollutants in the plywood and composite wood products industry using sulfur hexafluoride as a tracer gas, aiming to enhance emission control compliance.
Collection: Code of Federal Regulations
Status date: July 1, 2023
Status: Issued
Source: Office of the Federal Register
Category:
None
(see reasoning)
Sector: None (see reasoning)
Keywords (occurrence): automated (1) show keywords in context
The text primarily discusses a procedure for determining capture efficiency using tracer gas related to the plywood and composite wood products industry, and does not mention Artificial Intelligence (AI), algorithms, or any related concepts like machine learning or automated decision-making processes. The focus is on environmental compliance and measurement techniques rather than on AI technologies or their implications. Therefore, the relevance of this text to the defined categories is very low.
Sector: None (see reasoning)
The text discusses safety and efficiency measurement protocols for hot press enclosures in the wood products industry, with no reference to AI, data regulation, or implications related to any societal sectors defined. It is focused on the environmental aspect of a specific industry, particularly related to air quality measurement and control. No consideration is given to political, judicial, healthcare, or public service contexts. Consequently, no sector appears relevant to the content presented in the text.
Keywords (occurrence): automated (1) show keywords in context
Summary: The bill establishes customer service obligations for cable operators, enforcing standards to improve service quality, communication, and responsiveness to customer needs, while allowing franchising authorities to set higher requirements.
Collection: Code of Federal Regulations
Status date: Oct. 1, 2023
Status: Issued
Source: Office of the Federal Register
Category:
None
(see reasoning)
Sector: None (see reasoning)
Keywords (occurrence): automated (1) show keywords in context
The text primarily outlines customer service obligations for cable operators and does not contain explicit references to AI-related technologies or concepts. While automated response systems are mentioned, they are framed within the context of customer service processes rather than discussing the implications, risks, or governance of AI technologies themselves. Thus, the relevance to the categories of Social Impact, Data Governance, System Integrity, and Robustness is minimal, as the text doesn't delve into the broader societal implications or regulatory measures regarding AI. Overall, the connections to AI are weak and not sufficient to categorize this text under any of the specified AI categories.
Sector: None (see reasoning)
The text primarily addresses regulations concerning the operational standards for cable operators. It does not reference the application, regulation, or impact of AI technologies on political processes, public services, or any specific sector. Although it mentions automated systems, it does not elaborate on their role in the functioning of these sectors. Therefore, the relevance of the text to each of the sectors listed is negligible, leading to low scores across the board.
Keywords (occurrence): automated (1) show keywords in context