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Artificial intelligence systems using biometrics like face scans are being implemented in retail and hospitality to identify underage customers buying age-restricted items. The challenge was to assess the effectiveness of these systems using technology, statistics, and analysis for safe deployment. This groundbreaking effort set standards for measuring the performance of age estimation systems and addressing racial and gender bias, crucial for public trust in AI. A technical standard was established for age estimation, providing regulators with independent third-party certification for these systems.