The World Economic Forum’s white paper on facial recognition in law enforcement highlights its potential to support investigations through faster suspect identification, evidence validation, and cross-jurisdiction collaboration. However, it underscores critical risks—privacy infringement, bias, and misuse—that can erode public trust. The framework proposes governance principles: legality, necessity, proportionality, transparency, accountability, and human oversight. Case studies illustrate responsible deployment approaches, stressing that technology must be paired with clear safeguards, training, and independent oversight. Properly governed, facial recognition can enhance security while upholding human rights and public confidence.

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