US 2027 AI drunk-driving detection: 99.9% accuracy rule and privacy data gaps

The US Infrastructure Investment and Jobs Act (IIJA) Section 24220 requires that, from September 2027, all new US passenger cars include “advanced drunk and impaired driving prevention technology.” Execution is handled by NHTSA, but the agency missed the original November 2024 final-rule deadline and the rule remains in review. If no timeline shift occurs, the earliest installation window is late 2026, with full compliance by 2027-09. The core controversy is AI drunk-driving detection accuracy and how it’s enforced. NHTSA is reviewing two technical routes: (1) “breath-style” sensors in the steering column to detect breath-alcohol without driver action, and (2) “touch-style” infrared/skin-optical measurement to estimate BAC when drivers interact with controls. The regulation targets 99.9% accuracy. The article notes that even at 99.9%, real-world false positives could still lock out or stall fully sober drivers at large volumes. Privacy is the second fault line. IIJA Section 24220 does not require OEMs to share biometric data, but it also does not clearly forbid sharing. The US lacks a comprehensive federal framework defining ownership and limits for biometric data collected during vehicle operation (e.g., breath, skin-optical characteristics, and inferred BAC). This creates a “privacy black hole” risk of commercial use or sharing via policies. For crypto traders, the takeaway is indirect: this is a major US AI compliance push with potential reputational and legal tail risk for auto tech vendors, which can influence broader risk appetite—though no direct link to crypto assets is presented. Key remaining variables are NHTSA’s final rule timing, the ability to mass-produce AI drunk-driving detection systems meeting 99.9%, and whether Congress closes biometric protections.