Ranjeev Mittu is the Branch Head for the Information and Decision Sciences Branch within the Information Technology Division at the U.S. Naval Research Laboratory (NRL). He leads a multidisciplinary group of scientists and engineers conducting research and advanced development in visual analytics, human performance assessment, decision support systems, and enterprise systems. Mr. Mittu’s research expertise is in multi-agent systems, human-systems integration, artificial intelligence (AI), machine learning, data mining and pattern recognition; and he has authored and/or coedited eleven books on the topic of AI in collaboration with the national and international scientific communities spanning academia and defense. Mr. Mittu received a Master of Science Degree in Electrical Engineering in 1995 from The Johns Hopkins University in Baltimore, MD. The views expressed in this Work do not necessarily represent the views of the Department of the Navy, the Department of Defense, or the United States.
Télécharger le livre :  Bi-directionality in Human-AI Collaborative Systems

Bi-directionality in Human-AI Collaborative Systems investigates the foundations, metrics, and applications of human-machine systems, along with the legal ramifications of autonomy, including standards, trust by the public, and bidirectional trust by users and AI...
Editeur : Academic Press
Parution : 2025-06-11

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177,23

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Télécharger le livre :  Interdependent Human-Machine Teams

Interdependent Human-Machine Teams: The Path to Autonomy examines the foundations, metrics, and applications of human-machine systems, the legal ramifications of autonomy, trust by the public, and trust by the users and AI systems of their users, integrating concepts...
Editeur : Academic Press
Parution : 2024-12-05

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179,35

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Télécharger le livre :  Adversary-Aware Learning Techniques and Trends in Cybersecurity

This book is intended to give researchers and practitioners in the cross-cutting fields of artificial intelligence, machine learning (AI/ML) and cyber security up-to-date and in-depth knowledge of recent techniques for improving the vulnerabilities of AI/ML systems...
Editeur : Springer
Parution : 2021-01-22

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137,14

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Télécharger le livre :  Human-Machine Shared Contexts

Human-Machine Shared Contexts considers the foundations, metrics, and applications of human-machine systems. Editors and authors debate whether machines, humans, and systems should speak only to each other, only to humans, or to both and how. The book establishes the...
Editeur : Academic Press
Parution : 2020-06-10

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138,20

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Télécharger le livre :  Autonomy and Artificial Intelligence: A Threat or Savior?

This book explores how Artificial Intelligence (AI), by leading to an increase in the autonomy of machines and robots, is offering opportunities for an expanded but uncertain impact on society by humans, machines,...
Editeur : Springer
Parution : 2017-08-24

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94,94

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Télécharger le livre :  Robust Intelligence and Trust in Autonomous Systems

This volume explores the intersection of robust intelligence (RI) and trust in autonomous systems across multiple contexts among autonomous hybrid systems, where hybrids are arbitrary combinations of humans, machines and robots. To better understand the relationships...
Editeur : Springer
Parution : 2016-04-07

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94,94

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