U.S. Adopts Decentralized Approach to AI Regulation Amidst Global Variations
The United States is implementing a decentralized and sectoral approach to artificial intelligence (AI) regulation, contrasting with the European Union's comprehensive legislation and China's focus on algorithmic governance. Federally, the U.S. relies on an Executive Order on AI from October 2023, which mandates federal agencies to develop AI governance frameworks, establish safety standards, and promote innovation. The National Institute of Standards and Technology (NIST) has also developed a voluntary AI Risk Management Framework widely adopted by industry. At the state level, various laws are emerging, such as California's CPRA with automated decision-making provisions, Illinois' Biometric Information Privacy Act (BIPA), and New York's AI in Hiring Law requiring bias audits. Enforcement is carried out by agencies like the FTC against deceptive AI practices, the EEOC investigating discrimination, and state Attorneys General increasing AI-related enforcement. This fragmented regulatory landscape requires ... 
