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Facial recognition technology – AI assisted biometric algorithms that examine images of human faces to identify or authenticate an individual – has generated both excitement regarding its benefits and concerns over privacy and the potential for its surveillance capabilities to misidentify individuals. From government/law enforcement to private industry, its growing ubiquity has led some in the public and private sectors to either fast-track adoption or halt use until privacy considerations are fully understood and appropriate federal and state regulatory structures are put in place.

Lying at the heart of these divergent positions is a general lack of understanding of how the technology actually works, who uses it, and how it is used.

Topics covered include:

  • How the technology works.
  • How it has evolved since its inception.
  • What is a facial recognition technology algorithm?
  • How accurate are the latest versions of the technology?
  • What the latest demographic studies reveal about the accuracy of facial recognition software.
  • Typical law enforcement and private sector use-cases.
  • Dispelling common misconceptions.
  • Understanding the metrics involved.
  • Data privacy and security considerations.
  • Procurement guidance.