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"Enhancing Trust with AI-Driven Biometrics"

Enhancing Trust with AI-Driven Biometrics

Enhancing Trust with AI-Driven Biometrics

White Paper: jumio

Biometrics and AI Build the Strongest ID Verification Tech

Biometrics are commonplace. They protect our phones, log us into our virtual workspaces, secure our health records and verify our identity when we sign up for new services. Face, fingerprint, iris, voice and other modalities proliferate across our physical and digital lives, facilitating access, managing identity and keeping us safe from fraud. But it is crucial to understand that not all biometric technology is created equal.

The fact is, there are smart biometrics and basic ones. Functionally, allbtrue biometrics, regardless of the modality, do what the name implies: measure unique physical or behavioral traits and compare them. Some consumer-grade biometric solutions keep it simple, measuring and comparing and matching the same way every time. On the other hand, smart biometrics, which are enhanced by artificial intelligence and machine learning, adapt with every use, getting stronger, faster and more scalable. The latter type is a foundational aspect of a broader trend that FindBiometrics calls “Intelligent ID” – a key technology for the future of our increasingly digital and mobile lives.

Artificial intelligence is a heavy term in our culture, and it brings with it a great deal of baggage in the form of common misconceptions. When it comes to intelligent biometric identity, these misconceptions pool around face biometrics, identity proofing and continuous authentication, which taken together are the basic components of a trust chain. Fears about user privacy, distrust stemming from racial bias reports in surveillance systems, and the expectation that identity proofing must rely on a human element in the onboarding process are all common false precepts clouding the understanding of smart biometrics in ID verification and user authentication.

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