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Stanford HAI's implementation tracker
webCredibility Rating
4/5
High(4)High quality. Established institution or organization with editorial oversight and accountability.
Rating inherited from publication venue: Stanford HAI
This tracker is particularly useful for following U.S. federal AI governance developments, including actions stemming from executive orders relevant to AI safety and compute governance.
Metadata
Importance: 55/100organizational reportreference
Summary
Stanford HAI's policy tracker monitors the implementation status of U.S. executive actions related to artificial intelligence, including executive orders and directives. It provides a structured overview of which AI-related federal mandates have been fulfilled, are in progress, or remain pending. This serves as a reference tool for researchers and policymakers tracking the regulatory landscape.
Key Points
- •Tracks compliance and implementation status of U.S. executive orders on AI across federal agencies
- •Provides a structured, up-to-date record of government AI policy actions and deadlines
- •Useful for monitoring how executive-level AI governance directives translate into actual policy
- •Relevant to understanding the U.S. approach to AI oversight, including compute thresholds and safety standards
- •Maintained by Stanford HAI, a leading academic institution in AI policy research
Cited by 2 pages
| Page | Type | Quality |
|---|---|---|
| Compute Monitoring | Approach | 69.0 |
| US Executive Order on Safe, Secure, and Trustworthy AI | Policy | 91.0 |
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# Tracking U.S. Executive Action on AI
As the U.S. federal government continues to move toward greater adoption and governance of AI, there is a vital need for transparent and effective leadership and implementation of related executive actions. Stanford HAI scholars have analyzed the state of implementation of a variety of AI-related executive actions released since 2019 across administrations, providing insights into federal efforts to lead in and govern AI.
Our research aims to enhance public accountability and transparency and highlights both accomplishments and challenges in implementation. Through detailed tracking and analysis, we have observed improved agency compliance and reporting on AI-related requirements. However, persistent challenges underscore the need for sustained senior-level leadership to ensure a “whole-of-government” approach to responsible AI innovation and governance.
### [White Paper (January 2025): Assessing the Implementation of Federal AI Leadership and Compliance Mandates](https://hai.stanford.edu/policy/assessing-the-implementation-of-federal-ai-leadership-and-compliance-mandates)
_Relevant executive actions: EO 14110 (2023) and OMB Memo M-24-10 (2024)_
In this white paper, scholars from Stanford HAI, the Stanford RegLab, and the Administrative Conference of the United States assess the implementation of a few key requirements included in two executive actions taken by the Biden administration: Executive Order 14110 on the Safe, Secure, and Trustworthy Development and Use of AI and the corresponding Office of Management and Budget Memorandum M-24-10 on Advancing Governance, Innovation, and Risk Management for Agency Use of AI (M-Memo), both of which have since been rescinded.
This review of agencies’ implementation of mandates to appoint Chief AI Officers and issue plans for complying with the M-Memo, as well as their budgetary allocations to support AI-related initiatives, **shows that White House leadership and agencies have taken significant steps toward organizing and elevating AI leadership. The white paper also points to areas in need of
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