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Frontlines of Artificial Intelligence Ethics
Human-Centric Perspectives on Technology''s Advance

English · Hardback

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Description

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This foundational text examines the intersection of AI, 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.
AI 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 AI, psychology, ethics, engineering education, and leadership, particularly military leadership.

About the author

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 A. 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.

Summary

This book examines the intersection of artificial intelligence, psychology, and ethics in the design and implementation of technologically supported education, decision-making, and leadership training. It is essential reading for students, researchers, and professionals in AI, psychology, ethics, engineering education, and leadership.

Product details

Assisted by Jeanine DeFalco (Editor), Andrew Hampton (Editor), Andrew J. Hampton (Editor), Jeanine A. DeFalco (Editor)
Authors Jeanine Hampton Defalco, Andrew J. Defalco Hampton
Publisher Taylor & Francis Ltd.
 
Content Book
Product form Hardback
Publication date 30.04.2022
Subject Humanities, art, music > Philosophy > General, dictionaries
Non-fiction book > Philosophy, religion > Philosophy: general, reference works
Social sciences, law, business > Political science > Political science and political education
 
EAN 9780367467661
ISBN 978-0-367-46766-1
Pages 212
 
Subjects Artificial Intelligence, PSYCHOLOGY / Social Psychology, PSYCHOLOGY / General, PHILOSOPHY / Ethics & Moral Philosophy, PSYCHOLOGY / Cognitive Psychology & Cognition, PSYCHOLOGY / Applied Psychology, social science research, Psychological theory, systems, schools and viewpoints, Psychological theory & schools of thought, Artificial Intelligence (AI), Ethical issues: scientific & technological developments, Henrietta Lacks, Human computer interaction, Agent Based Modeling, software agent, intelligent tutoring systems, virtual agents, Datasets, Word Embeddings, Interdependence theory, Ethical issues: scientific, technological and medical developments, Counter insurgency, algorithmic accountability, AI System, virtual human, IBM Employee, ethical artificial intelligence applications, data science history, machine learning bias, leadership training technology, Human-centric approach, AI Developer, Combination Node, Maintaining Norms, Human-Centric Perspectives, Partner Control, Human Level Ai, Chicken Dilemma, Influence Behavior Intention, Computer Science Conferences
 

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