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Personal Identity, Artificial Intelligence, and Biometric Entropy

Dept. of Computer Science (March 8, 2022)
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SEMINAR SERIES : Distinguished Lecture Series

MAJOR SPEAKER : Daugman, John
LENGTH : 63 min.
ACCESS : Open to all
SUMMARY : Questions of human identity take many forms, including: (1) the mind/brain problem: how our mental life and consciousness arise from neural activity in the brain; (2) the relationships among concepts of personhood, society, and the state (who is master, who is servant); and (3) how the identities of different persons can be visually distinguished from each other. Recent progress in artificial intelligence and machine learning gives perspectives on all these topics. This lecture will discuss several aspects of the Identity questions, focusing mainly on computational neuroscience, computer vision, automatic face and iris recognition, and the concept of biometric entropy. Understanding big biometric entropy has resulted in 1.5 billion persons worldwide being enrolled by their iris patterns (including 1.3 billion in India for the UIDAI welfare benefits distribution scheme), after US Government tests involving trillions of iris comparisons, using the speaker’s algorithms.  [Go to the full record in the library's catalogue]



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