Eric Postow explores how America’s founding principles can guide the governance of artificial intelligence, drawing on constitutional law, individual liberty, and lessons from cannabis regulation. The article argues that human rights, checks and balances, and practical, accessible laws should form the foundation of responsible AI governance.
This article examines the legal significance of Executive Order 14434 and the effort to establish a federal definition of Super Intelligence. Eric Postow explores how terminology could shape AI regulation, corporate liability, government oversight, and America’s role in developing legal frameworks for increasingly capable technology.
This article examines how Meta’s Muse AI agent raises new legal questions about data privacy, user consent, autonomous transactions, and liability. It explores the regulatory gaps surrounding agentic AI and what businesses and consumers should consider as AI systems gain greater authority to act independently.
This article previews Holon Law Partners’ October 22 AI Breakfast in Washington, DC, exploring the policy questions shaping AI governance in 2026, including federal preemption, state regulation, practical compliance, market deployment, and the growing emphasis on meaningful human oversight.
This article explains why recent changes to the EU AI Act should not be mistaken for regulatory relief, examining how the EU Digital Omnibus shifts implementation timelines while leaving key transparency, disclosure, and GDPR obligations in place for companies operating in European markets.
This article highlights Eric Postow’s guest column on autonomous vehicles, exploring why the future of self-driving technology depends less on individual vehicles and more on the interconnected systems of infrastructure, regulation, data governance, and urban planning that enable them.
Holon Law Partners welcomes Rita Dienes, Esq., CIPP/E, AIGP, whose experience inside European Union institutions and deep knowledge of GDPR, the EU AI Act, and cross-border regulatory strategy strengthens the firm’s ability to advise clients navigating AI governance and international data privacy compliance.
This article explains why AI-enabled transactions require a fundamentally expanded diligence framework, covering training data provenance, model licensing, AI governance, privacy compliance, and regulatory exposure under frameworks such as the EU AI Act.
This article explains how state-led regulatory sandbox programs are shaping the development of AI governance in the United States, highlighting how controlled testing environments are influencing liability, oversight, and the future of real-world AI deployment.
This article examines Moltbook, an experimental social network populated entirely by autonomous AI agents, and explores the legal, regulatory, and governance implications of persistent machine-to-machine discourse, including liability, platform responsibility, systemic risk, and ecosystem-level oversight.