1、A Policy Framework for Responsible Limits on Facial Recognition Use Case:Law Enforcement InvestigationsI N S I G H T R E P O R TR E V I S E D N O V E M B E R 2 0 2 2With particular thanks and appreciation to:A Policy Framework for Responsible Limits on Facial Recognition Use Case:Law Enforcement Inv

2、estigations2ForewordIntroductionMethodology1 Law enforcement investigations:use cases and definitions2 Principles3 Self-assessment questionnaireConclusionGlossaryContributorsEndnotes45810192734363841Images:Getty Images,Unsplash 2022 World Economic Forum,UNICRI,INTERPOL and Netherlands Police.All rig

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4、or interaction.The findings,interpretations and conclusions expressed herein are a result of a collaborative process facilitated and endorsed by the World Economic Forum but whose results do not necessarily represent the views of the World Economic Forum,nor the entirety of its Members,Partners or o

5、ther stakeholders.ContentsA Policy Framework for Responsible Limits on Facial Recognition Use Case:Law Enforcement Investigations3ForewordRemote biometric technologies in particular,facial recognition have gained a lot of traction in the security sector in recent years.The accuracy of these technolo

6、gies has significantly increased with advancements in deep learning algorithms,growing access to huge volumes of training data and the pressure to reduce bias to negligible values.The advent of this technology comes at a time when law enforcement agencies are increasingly expected to resolve ever mo