The Frontlines of Artificial Intelligence Ethics : Machines Like Us? book cover
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The Frontlines of Artificial Intelligence Ethics
Machines Like Us?




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ISBN 9780367467678
April 29, 2022 Forthcoming by Routledge
260 Pages 20 B/W Illustrations

 
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Book Description

This foundational text examines the intersection of artificial intelligence, psychology, and ethics, laying the groundwork for the importance of ethical considerations in the design and implementation of technologically supported education, decision support, and leadership training.

Artificial Intelligence already affects our lives profoundly, in ways both mundane and sensational, obvious and opaque. Much academic and industrial effort has considered the implications of this AI revolution from technical and economic perspectives, but the more personal, humanistic impact of these changes has often been relegated to anecdotal evidence in service to a broader frame of reference. Offering a unique perspective on the emerging social relationships between people and AI agents and systems, Hampton and DeFalco present cutting-edge research from leading academics, professionals and policy standards advocates on the psychological impact of the AI revolution. Structured into three parts, the book explores the history of data science, technology in education, and combatting machine learning bias, as well as future directions for the emerging field, bringing the research into the active consideration of those in positions of authority.

Exploring how AI can support expert, creative, and ethical decision making in both people and virtual human agents, this is essential reading for students, researchers, and professionals in artificial intelligence, psychology, ethics, engineering education, and leadership, particularly military leadership.

Table of Contents

Introduction Andrew J. Hampton and Jeanine A. DeFalco

Part 1: Surveying the AI Landscape

  1. Law and Moral Philosophy to Center Human Dignity as an Indicator of Ethical AI: Concerns, Cultural Touchpoints, Paths Forward Ozlem Ulgen
  2. Flipping Rocks and Pointing Out the Bugs: Invisible Threats and Data Darian DeFalco
  3. Seeing the Forest and the Trees: AI Bias, Political Relativity, and the Language of International Relations Leah C. Windsor
  4. Part 2: AI in the Classroom

  5. The Truth in Our Ideas Means the Power to Work: Implications of the Intermediary of Information Technology in the Classroom COL James Ness, LTC Lolita Burrell, & David Frey
  6. Benefits and Potential Issues for Intelligent Tutoring Systems and Pedagogical Agents Lishan Zhang, Xiangen Hu, Frank Andrasik, Shuo Feng
  7. The Only Living Boy in Homeroom: How Virtual Classes and Agents Fundamentally Change the Learning Experience Andrew J. Hampton, Donald M. Morrison, & Brent Morgan
  8. Part 3: Decisions, Decisions

  9. J.A.R.V.I.S., What Should I Do Now? Human Virtual Agents as a Means to More Ethical Decision-Making Jeanine A. DeFalco and John Hart
  10. Ethical Frameworks for Cybersecurity: Applications for Human and Artificial Agents. F. Jordan Richard Schoenherr and Robert Thomson
  11. Deep Blue Wants You: Identifying and Addressing Sources of Bias in AI Systems to Support Human Resources Decisions Aryn Pyke, F. Jordan Richard Schoenherr, Robert Thomson
  12. On the Shoulders of Giants: How the Social Sciences Can Help AI Navigate its Ethical Dilemmas Arthur C. Graesser and John Sabatini

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Editor(s)

Biography

Andrew Hampton is an Assistant Professor of psychology at Christian Brothers University, US. He has served as project manager on the pioneering hybrid tutor ElectronixTutor, chair of the IEEE Standards Association working group for Adaptive Instructional Systems, and project co-leader for a novel form of conversation-based AI learning and engagement called TalkShop.

 

Jeanine DeFalco is a Research Scientist with the US Army Futures Command, Combat Capability Center in Orlando, Florida, US. She serves as chair of the IEEE Standards Association working group for Recommended Practice for Ethically Aligned Design of Artificial Intelligence (AI) in Adaptive Instructional Systems. Dr. DeFalco is also an adjunct instructor at the University of Central Florida, and Pace University, US.