Enhancing Automated Decision-Making Through AI
Hai-Jew, Shalin
Des 2024 · IGI Global
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Computational capabilities bring with them the advantages of cold logic, precision, speed, data omniscience, mass data processing capabilities, multimodality, enriched deployments, and efficiencies. With these many advantages, people seek to offload work to machines. Now with the major advances in artificial intelligence, humanity is moving closer to handing over complex decision-making to machines, without humans in the direct loop.
Enhancing Automated Decision-Making Through AI explores the processes of designing and deploying systems for automated decision-making. It also considers the implications of automated decision-making informed by AI, which can be unpredictable. Covering topics such as agriculture, disaster detection, and tumor detection, this book is an excellent resource for engineers, systems designers, instructors, graduate and postgraduate students, and more.
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Shalin Hai-Jew works as a grant writer at Hutchinson Community College. She has worked as a college professor and instructional designer for many years both in the U.S. and abroad. She has a doctorate in Educational Leadership from Seattle University, where she was a Morford Scholar. She has conducted a wide range of research and has published broadly. [Editor]
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