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US AI Regulation in Practice Comply Without a Federal Law
Published 9/2026
Created by DCDG Partners
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 39 Lectures ( 2h 55m ) | Size: 1.8 GB
Map which state laws reach you, meet the duties the FTC, EEOC and SEC already enforce, and build a program in 90 days
What you'll learn
Explain why the US has no single AI law and how federalism, sectoral regulation, and executive action fill that gap. Track the federal layer from EO 14110 to EO 14179 and EO 14365, including the deregulatory posture and agency enforcement. Understand the preemption fight, the DOJ AI Litigation Task Force, and why an executive order cannot repeal a state law. Identify which state laws reach your company based on where your users, applicants, and customers actually live Apply California SB 53, Texas TRAIGA, NYC Local Law 144, and the Colorado saga to your specific operating context. Recognize sector-specific obligations already binding you in employment, healthcare, financial services, and consumer AI Use NIST AI RMF and ISO/IEC 42001 as a practical backbone instead of chasing every new statute as it appears. Identify safe harbours where voluntary frameworks acquire real legal weight and reduce your exposure meaningfully. Build inventory, risk classification, impact assessments, vendor controls, and audit-ready records that survive scrutiny. Reconcile US and EU AI Act obligations for dual operators and execute a concrete first ninety days in your organizationRequirements
No legal or technical background required - every concept, including preemption, is explained properly rather than assumed. No prior knowledge of US AI regulation is needed - the course builds the full picture from the ground up. All you need is a role carrying responsibility for AI systems, compliance, risk, HR, product, or business decisions.Description
This course contains the use of artificial intelligence. It was used to partially generate the thumbnail and to verify certain affirmations. There is a question that comes up in almost every meeting where American AI regulation is discussed, and it sounds simple: which law applies to us? The honest answer is that it depends on where your users live, what decisions your systems influence, what industry you operate in, and what month it is.
That answer satisfies nobody, and it is also the single most important thing to understand before anything else.
The United States has no comprehensive federal AI statute. What it has instead is a working environment made of executive orders, agencies applying laws written long before anyone deployed a language model, a growing body of state legislation that contradicts itself across borders, and an active federal effort to invalidate a good part of that state legislation in court.
This course is a working map of that environment. Not a survey of every bill introduced, because there were more than a thousand of those in a single year and most went nowhere. What you get is the set of rules actually in force, the federal actions that actually change behaviour, and the practices that hold up whether or not the current legal fight resolves in your favour.
You will trace the federal layer from EO 14110 through the 2025 reversal to EO 14365 and the National Policy Framework. You will understand the preemption fight, the DOJ AI Litigation Task Force, and why an executive order cannot repeal a state law. You will map the state patchwork including California, Texas, Illinois, New York, and the Colorado saga, and learn how reach attaches to your company based on where your customers are, not where your office is.
The course covers sector-specific obligations in employment, healthcare, financial services, and consumer-facing AI that already bind you today. It then shows you how to use NIST AI RMF and ISO/IEC 42001 as a practical backbone, where voluntary frameworks acquire real legal weight as safe harbours, and why choosing one control set beats chasing statutes.
The final modules build a program that survives scrutiny: inventory, risk classification, impact assessments, roles and human oversight, vendor and procurement controls, incident handling, and audit readiness. It closes with cross-border reconciliation against the EU AI Act and your first ninety days.
No legal background required. This is education, not legal advice, and it teaches you both the current picture and how that picture is generated, so you know what changed when it changes.
Who this course is for
Compliance and legal professionals who need the operational version of US AI regulation rather than the citation-heavy one. HR leaders who have discovered that their hiring and promotion tools are now regulated objects under multiple state laws. Risk and internal audit functions being asked for AI assurance they currently have no framework to produce. Product owners and managers who need to know what disclosure and transparency requirements do to a user flow. Executives and business leaders who have to decide how much AI governance to fund and what it actually buys them. Healthcare compliance professionals navigating clinical decision support, patient disclosure, and HIPAA intersections with AI. Financial services and insurance professionals handling lending, underwriting, and model risk obligations for AI systems. Privacy officers and Data Protection Officers extending their remit from data protection into AI governance requirements. Consultants and advisors helping US companies navigate the state patchwork and build defensible governance programs. Professionals at companies operating on both sides of the Atlantic who must reconcile US rules with the EU AI Act.Homepage
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