Artificial Intelligence in a Throughput Model - Rodgers, Waymond
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Physical and behavioral biometric technologies such as fingerprinting, facial recognition, voice identification, etc. have enhanced the level of security substantially in recent years. Governments and corporates have employed these technologies to achieve better customer satisfaction. However, biometrics faces major challenges in reducing criminal, terrorist activities and electronic frauds, especially in choosing appropriate decision-making algorithms. To face this challenge, new developments have been made, that amalgamate biometrics with artificial intelligence (AI) in decision-making…mehr

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Produktbeschreibung
Physical and behavioral biometric technologies such as fingerprinting, facial recognition, voice identification, etc. have enhanced the level of security substantially in recent years. Governments and corporates have employed these technologies to achieve better customer satisfaction. However, biometrics faces major challenges in reducing criminal, terrorist activities and electronic frauds, especially in choosing appropriate decision-making algorithms. To face this challenge, new developments have been made, that amalgamate biometrics with artificial intelligence (AI) in decision-making modeling. Advanced software algorithms of AI, processing information offered by biometric technology, achieve better results. This has led to growth in the biometrics technology industry, and is set to increase the security and internal control operations manifold. This book provides an overview of the existing biometric technologies, decision-making algorithms and the growth opportunity in biometrics. The book proposes a throughput model, which draws on computer science, economics and psychology to model perceptual, informational sources, judgmental processes and decision choice algorithms. It reviews how biometrics might be applied to reduce risks to individuals and organizations, especially when dealing with digital-based media.
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Autorenporträt
Waymond Rodgers is a CPA (inactive) and Chair Professor in the School of Business at the University of Hull, UK. In addition, he holds an accounting professorship at the University of Texas, El Paso (USA). Previously, he was a professor at University of California, Riverside and Irvine. His degrees are from Michigan State University (BA), University of Detroit-Mercy (MBA), University of Southern California (PhD in accounting information systems), and an experimental psychology post-doctorate from the University of Michigan. He is a Ford Foundation Fellow and received a Franklin Fellowship from the US State Department. His experiences include working as an auditor with Ernst & Young and PricewaterhouseCoopers, as well as a commercial loan officer with Union Bank¿.