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Artificial intelligence systems with biometrics, like face scans, are being prepared for use in retail and hospitality to verify the age of customers. Technology, statistics, and analysis were used to ensure the efficacy of these systems and gain regulators' confidence. This effort resulted in creating a technical standard for age estimation, which includes measuring racial and gender bias. This standard allows for independent third-party certification of age estimation systems, ensuring underage individuals are prevented from accessing age-restricted goods and services.
