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Interdependent Human-Machine Teams: The Path to Autonomy examines the foundations, metrics, and applications of human-machine systems, the legal ramifications of autonomy,… Read more
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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 from various disciplines such as AI, machine learning, social sciences, quantum mechanics, and systems engineering. In this book, world-class researchers, engineers, ethicists, and social scientists discuss what machines, humans, and systems should discuss with each other, to policymakers, and to the public.
It establishes the meaning and operation of “shared contexts” between humans and machines, policy makers, and the public and explores how human-machine systems affect targeted audiences (researchers, machines, robots, users, regulators, etc.) and society, as well as future ecosystems composed of humans, machines, and systems.
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Hesham Fouad is the section head for the Intelligent Decision Support Section within the Information Technology Division at the U.S. Naval Research Laboratory (NRL). Dr. Fouad has over 35 years of experience as a Computer Scientist working in both industry and academia. He began his career at IBM Advanced Technologies where he worked on the first commercially available expert system development and runtime environment. Expert System Environment (ESE) was developed through a collaborative effort between the AI team at Stanford University and IBM. Dr. Fouad worked with the Stanford team to integrate new capabilities into ESE such as Frame Based Reasoning. Dr. Fouad also worked with the Voice Recognition group, led by Kai-Fu Lee, at Carnegie Mellon university to transition their S&T into IBM’s Via Voice product. Finally, Dr. Fouad worked with the MIT media lab’s Project Athena group on a collaborative effort to integrate a Hypermedia capability into the OS/2 operating system.
Dr. Fouad left IBM to pursue a Doctoral Degree in Computer Science at The George Washington University where he conducted his dissertation research on optimal real-time scheduling algorithms for Imprecise Computations using a fair scheduling strategy. This work was the basis of a startup company that Dr. Fouad founded and ran for 13 years. During that time, Dr. Fouad developed and managed the production of a line of commercial software for synthetic spatial audio design and production. He also conducted research on, and managed several ONR funded BAA and SBIR awards on adaptive training in virtual environments during that time.
Dr. Fouad maintained his involvement with academia both as an adjunct professor at the George Washington University, and as chair of a newly created undergraduate degree program in Computer Science with a focus on Game Development at the Art Institute of Washington. Since joining NRL, Dr. Fouad has led numerous efforts with three transitions to-date. He has procured millions in funding from Navy, Marines, Army, and OUSD sources. He has mentored SEAP students and has taken on a variety of roles within The Technical Cooperation Program.