Comparing EU and US AI legislation: déjà vu to 2020
This article was initially published in Reuters and Thomson Reuters Westlaw Today.
Lily Li of Metaverse Law discusses the landscape for AI legislation, with the passage of the European Union’s AI Act while states pass AI bills with differing thresholds, coverage and subject matter.
The landscape for EU and US AI legislation feels like a rinse and repeat of data privacy legislation in 2020. Back then, the General Data Protection Regulation (GDPR) was in full force and effect, while California and other states were developing privacy laws at breakneck speed. Many companies were caught unaware by GDPR, only to face a new onslaught of US state-by-state privacy laws.
Now, companies face the same problem. The EU has just passed a comprehensive AI law, the EU AI Act, which imposes significant compliance obligations and antitrust-style mega fines.
In the United States, state legislatures are passing AI bills at a breakneck speed, with differing thresholds, coverage and subject matter. Do global companies bite the bullet and comply with the EU AI Act globally, or should there be a more nuanced jurisdiction-by-jurisdiction approach?
Comprehensive and imposing
The EU AI act is a comprehensive law that has been in development for years by EU regulators. One of its unique features, not seen in US legislation, is a complete ban on certain “prohibited AI practices” (Article 5, https://bit.ly/4gQHfe8). Some of these prohibited practices include assessing whether an individual is likely to commit a crime and real-time biometric identification by law enforcement (think Minority Report), as well as social scoring of individuals.
In addition to setting forth prohibited practices, the EU AI Act designates a list of high-risk AI practices. This includes, but is not limited to, use of AI in employment decisions, credit scores, insurance and access to services. For these high-risk AI practices, AI providers need to implement a full risk management program that considers the following factors:
- Data governance
- Technical documentation
- Recordkeeping
- Human oversight
- Accuracy, robustness, and cybersecurity management
- Quality management
- Education
- Employment
- Financial or lending services
- Essential government services
- Health-care services
- Housing
- Insurance
- Legal service

