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Enhancing Automated Decision-Making Through AI

Shalin Hai-Jew (Sedgwick County, USA)
Indexed In: SCOPUS
Release Date: December, 2024 | Copyright: © 2025 | Pages: 596
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Publication Status: E-Book and Print Version Available for Purchase
ISBN13: 9798369362303
ISBN13 Softcover: 9798369362310
EISBN13: 9798369362327
DOI: 10.4018/979-8-3693-6230-3

Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Agriculture
  • Artificial Intelligence (AI)
  • Automation
  • Blockchain Technology
  • Decision-Making Tools
  • Deep Learning Models
  • Disaster Detection
  • Food Security
  • Internet of Things (IoT)
  • Machine Learning (ML)
  • Performance Metrics
  • Predictive Applications
  • Tumor Detection

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Enhancing Automated Decision-Making through AI is an edited collection, with works by computer scientists and others from around they world. When the hard questions were asked, these are the individuals who stepped up to offer reasoned thinking, hands-on work with AI systems, research, and considerations.

– Dr. Shalin Hai-Jew

"Enhancing Automated Decision-Making Through AI is a bridging edited collection of works by computer scientists, thinkers, and ethicists. The animating question: How should (will) people develop and harness AI systems in ways that enable automated decision-making without humans in those particular loops, in ways that people accept all outcomes, come what may? How can AI be able to run with its full range of creativity and pattern knowledge to solve problems and stand in for human decision-makings while limiting risks? The works in this collection include research, case studies, ethical explorations, and a thought experiment. The legacies of the past, the present, and the future…meld and interleave because time works that way."

– Shalin Hai-Jew, Hutchinson Community College

Dr. Shalin Hai-Jew works as a case manager for Sedgwick County. Prior, she has worked for many years in higher education, as a grant writer, instructional designer, instructor, and other roles. She has B.A.s in English and psychology from the University of Washington (Seattle), a master's in English (UW), and an Ed.D. in Educational Leadership from Seattle University, where she was a Morford Scholar. She tested into the University of Washington at age 14. She has lived and worked abroad for four years. She has edited several dozen nonfiction texts around the topics of education and technologies, among others. She has researched and written a dozen edited texts. She was born in Huntsville, Alabama, in the U.S.

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