The fields of artificial intelligence (AI) and data science have undergone a transformative journey in the United States, with their regulatory and policy framework evolving to balance innovation, ethics, and accountability. A pivotal 2019 Executive Order on “Maintaining American Leadership in Artificial Intelligence” marked a critical turning point, laying the foundation for a national strategy on AI and catalyzing a broader commitment to leveraging data as a strategic asset. This Executive Order introduced the seeds of a disciplined approach to AI that continues to shape the federal regulatory and operational landscape. At the local level, while numerous promising initiatives are emerging, many remain in their early stages, requiring careful nurturing and development to reach their full potential. Below, we explore the regulatory ecosystem across federal, state, and local levels, examine current initiatives, and propose a forward-looking policy agenda that builds on this foundational legacy while embracing the doctrine of disciplined use.

Money laundering is a complex financial crime in which criminals disguise the illicit origins of their wealth by moving funds through a variety of legal channels. The process typically unfolds in three distinct stages: placement, layering, and integration. Each stage provides money launderers a chance to obscure the source and ownership of the funds – but also presents opportunities for financial institutions and law enforcement to detect and prevent these illegal activities. Understanding the mechanics of these stages is critical for combating this type of financial crime.

The Office of Management and Budget (OMB) has taken a decisive step in regulating artificial intelligence (AI) usage within federal agencies. This move, underscored by Vice President Harris’s recent announcement, is pivotal in advancing governance, innovation, and risk management. The discussion will dissect the OMB’s new policy, its implications for AI in government operations, and how it aligns with broader AI governance trends.