Enhancing Automated Decision-Making Through AI
Hai-Jew, Shalin
dhj 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 the grant writer for Hutchinson Community College in Hutchinson, Kansas. Prior, she worked as an instructional designer at Kansas State University (K-State) for 17.5 years. She has taught at the university and college levels for many years (including four years in the People’s Republic of China) and was tenured at Shoreline Community College (where she taught for seven years). She has Bachelor’s degrees in English and psychology, a Master’s degree in Creative Writing from the University of Washington (Hugh Paradise Scholar), and an Ed.D in Educational Leadership with a focus on public administration from Seattle University (where she was a Morford Scholar). She tested into the University of Washington at 14. She reviews for several publishers and publications. She has authored and edited a number of books. Hai-Jew was born in Huntsville, Alabama, in the U.S. [Editor]
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