?asOf= parameter to see the current catalog state.Executive Order 14179 — Removing Barriers to American Leadership in AI
US-EO-14179 · US
Rescinds EO 14110's regulatory-burden provisions. Directs OMB / OSTP / NSC to remove barriers to AI development. Does NOT itself impose new substantive obligations — coverage is mostly silent. The DPA-grounded compute-reporting interim rule (BIS, Jan 2025) and Defense Production Act §708 reporting persist independently.
Background & scope
Executive Order 14179 — Removing Barriers to American Leadership in AI addresses 0 contested AI-governance topics explicitly.
Provisions & coverage
No topics are governed by this instrument in the current catalog.
See also
Per-audience views
- Provisions →Article-by-article obligation breakdown for procurement + RFP authors.
- Disclosure form →Vendor-disclosure questionnaire derived from this instrument's operative obligations.
- Harm narratives →Documented harms relevant to this instrument's topics, for civil-society advocacy.
- Briefing pack →Journalist-ready summary with quotes + dates + primary-source links.
Article tools — track changes, suggest an edit
View history — every captured revision of this article · What links here
Further reading
99 academic & grey-literature sources on the topics this instrument addresses (not commentary on the instrument itself) — catalogued metadata with a primary link; one-line findings are ✦ AI-generated summaries, labeled as such (charter §7.9). Browse the full literature index.
- Geopolitical ecologies of cloud capitalism: Territorial restructuring and the making of national computing power in the U.S. and China Peer-reviewed✦ AIUS and Chinese drives for sovereign AI/cloud dominance depend on reorganizing land, energy and regulatory systems to sustain large-scale national computing power.
- A Framework for Evaluating Global AI Governance Initiatives Peer-reviewed✦ AIOffers a framework to evaluate global AI governance initiatives, recommending capacity-building so Global South states can meaningfully participate in standard-setting.
- Large language models reflect the ideology of their creators Peer-reviewed✦ AIEmpirically shows LLMs encode their creators' ideologies, supporting policy incentives for home-grown models reflecting local cultural views, especially in low-resource-language regions.
- Predictive policing and predictive justice: Ethics, data protection, and the AI act Peer-reviewed✦ AIExamines how predictive-policing and predictive-justice systems interact with data-protection law and the AI Act's law-enforcement provisions, exposing accountability and oversight shortfalls.
- National Security and New Forms of Surveillance: From the Data Retention Saga to a Data Subject Centred Approach Peer-reviewed✦ AIArgues the CJEU's controller-based route for applying EU law to national-security surveillance 'creates significant legal uncertainties,' proposing a data-subject-focused scope instead.
- Cop out: security exemptions in the Artificial Intelligence Act (in: Automating Authority — AI in European police and border regimes) Civil society✦ AIDocuments how AI Act security exemptions plus police powers to restrict supervisory information-sharing will make meaningful supervision of policing and migration AI 'extremely difficult.'
- An interdisciplinary account of the terminological choices by EU policymakers ahead of the final agreement on the AI Act: AI system, general purpose AI system, foundation model, and generative AI Peer-reviewed✦ AITraces how the AI Act's legal text shifted across versions among the terms 'AI system, general purpose AI system, foundation model, and generative AI', exposing definitional instability in the regime.
- The EU model of AI governance: regulating artificial intelligence through law and policy Peer-reviewed✦ AIAnalyses how the AI Act's risk-based model handles general-purpose and foundation models whose 'autonomous content generation challenges legal categories of authorship, accountability, and control'.
- Generative AI and data protection Peer-reviewed✦ AIExamines friction between foundation-model training and the GDPR, noting models that 'memorize and leak pieces of training data' cannot be treated as anonymous.
- Digital Disintegration: Techno-Blocs and Strategic Sovereignty in the AI Era Peer-reviewed✦ AIArgues states increasingly assert 'strategic digital sovereignty...through selective alliances with firms and other governments,' fragmenting global AI infrastructure into techno-blocs rather than multilateral order.
- "We know what we are doing": the politics and trends in artificial intelligence policies in Africa Peer-reviewed✦ AIMaps the political drivers and trends of emerging African national AI policies, situating sovereignty and development framings against external dependency.
- Latin American critical data studies Peer-reviewed✦ AISurveys Latin American critical data studies, advancing concepts of statistical, epistemic and national sovereignty as decolonial framings for AI/data governance.
+ 87 more across this instrument's topics — see the literature index.
References
The primary instrument sources behind the article's classifications.
How to cite this article
Cite this article 8 formats · BibTeX, RIS, APA, Chicago, … · 1-click copy
Persistent identifier: https://policywindow.org/wiki/us-eo-14179 — committed-stable URL with content-versioning via ?asOf= (rollout pending per methodology §7). DOIs via Zenodo are on the roadmap.