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A Policy Framework for Responsible Limits on Facial Recognition Use Case: Law Enforcement Investigations

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A Policy Framework for Responsible Limits on Facial Recognition Use Case: Law Enforcement Investigations

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Over the past decade, progress in machine learning and sensors has fuelled the development of facial recognition technology (FRT) – a biometric technology capable of providing a score-based list of potential matches or verifying a person’s identity by comparing and analysing patterns based on that person’s facial features. This has led to its rapid adoption in various industries, including law enforcement, transportation, healthcare and banking. The development of FRT presents considerable opportunities for socially beneficial uses, mostly through enhanced authentication and identification processes, but it also creates unique challenges. To fully grasp these challenges and the trade-offs they may entail and to build appropriate governance processes, it is necessary to approach FRT deployment through specific use cases. Indeed, passing through an airport border control with face identification, using face-based advertising in retail, or employing facial recognition solutions for law enforcement investigations involves very different benefits and risks.

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