House BillHR 67Administrative law and regulatory proceduresComputers and information technology
Modernizing Retrospective Regulatory Review
INTRO JAN 3· LAST ACTION MAY 21
READING
4MIN
COSPONSORS
1
READER REACTIONS0 TOTAL
NO VOTES YET · BE THE FIRST
Reported, not passed
LEGISLATIVE PROGRESS
STEP 3 / 8
Introduced
In Committee
Reported
Passed House
Passed Senate
Conference
To President
Became Law
WHAT THE BILL DOES
AI-written
This bill matters because it attempts to tackle a common complaint: that government regulations are often too numerous, complex, or outdated. By pushing federal agencies to use modern technology like AI, it aims to make the process of identifying and improving these rules much more efficient and effective than traditional manual reviews.
If this bill becomes law, it could lead to a more streamlined and less burdensome regulatory environment, potentially saving time and money for both the government and the public. If it doesn't become law, regulatory reviews would likely continue using older, less efficient methods, potentially allowing outdated or ineffective rules to remain on the books for longer, impacting everyday life and business operations.
KEY PROVISIONS
3AI-extracted
PROVISION 01
Requires the Office of Management and Budget (OMB) to report on the Federal Government's progress in making regulations available in a 'machine-readable' format and to recognize the eCFR as an official legal edition.
This provision is crucial for laying the groundwork, as using technology to review regulations depends on having them in a computer-friendly format.
PROVISION 02
Mandates OMB to issue guidance to agencies on how to identify, acquire, and use technology, including algorithmic tools and artificial intelligence, for conducting retrospective reviews of existing regulations.
This is the central mechanism of the bill, directly enabling agencies to leverage modern tech to find problematic regulations more efficiently.
PROVISION 03
Requires each federal agency to submit and then implement a detailed plan for using the new guidance and technology to review their own regulations.
This provision ensures that agencies actually adopt and integrate these new review processes into their operations, leading to real-world changes.
This bill matters because it attempts to tackle a common complaint: that government regulations are often too numerous, complex, or outdated. By pushing federal agencies to use modern technology like AI, it aims to make the process of identifying and improving these rules much more efficient and effective than traditional manual reviews.
If this bill becomes law, it could lead to a more streamlined and less burdensome regulatory environment, potentially saving time and money for both the government and the public. If it doesn't become law, regulatory reviews would likely continue using older, less efficient methods, potentially allowing outdated or ineffective rules to remain on the books for longer, impacting everyday life and business operations.
KEY PROVISIONS
AI-extracted
high
Requires the Office of Management and Budget (OMB) to report on the Federal Government's progress in making regulations available in a 'machine-readable' format and to recognize the eCFR as an official legal edition.
This provision is crucial for laying the groundwork, as using technology to review regulations depends on having them in a computer-friendly format.
high
Mandates OMB to issue guidance to agencies on how to identify, acquire, and use technology, including algorithmic tools and artificial intelligence, for conducting retrospective reviews of existing regulations.
This is the central mechanism of the bill, directly enabling agencies to leverage modern tech to find problematic regulations more efficiently.
high
Requires each federal agency to submit and then implement a detailed plan for using the new guidance and technology to review their own regulations.
This provision ensures that agencies actually adopt and integrate these new review processes into their operations, leading to real-world changes.
OMB Director to submit a report on the progress of making regulations machine-readable and recognizing eCFR.
18 months after the date of enactment
OMB Director to issue guidance on using technology for retrospective reviews.
2 years after the date of enactment
Each agency head to submit an agency retrospective review plan.
180 days after submitting the plan
Each agency head to implement the strategy included in their retrospective review plan.
GLOSSARY
AI-written
Retrospective Review
A formal assessment or examination of a government rule or regulation that has already been put into effect, to see if it's working as intended, is still necessary, or needs changes.
Machine-Readable Format
Data or information that is structured in a way that a computer can easily process, analyze, and extract meaning from, rather than just displaying it as text or an image.
Office of Management and Budget (OMB)
A key agency within the Executive Office of the President that helps manage the federal budget and oversees federal agency regulations.
Code of Federal Regulations (CFR)
The official collection of all general and permanent rules and regulations issued by departments and agencies of the U.S. federal government.
eCFR
An unofficial, regularly updated online version of the Code of Federal Regulations, maintained by the Office of the Federal Register and the Government Publishing Office.
Administrator of the Office of Information and Regulatory Affairs (OIRA)
A high-ranking official within OMB who plays a central role in reviewing and coordinating federal regulations.
Algorithmic Tools / Artificial Intelligence (AI)
ACTION TIMELINE
5 EVENTS
MAY 21, 25
Committee Consideration and Mark-up Session Held
COMMITTEE
MAY 21, 25
Ordered to be Reported by the Yeas and Nays: 24 - 18.
Computer programs and systems designed to perform tasks that typically require human intelligence, such as learning, problem-solving, and analyzing large amounts of data, in this case, to evaluate regulations.
