This groundbreaking book provides the first systematic framework for
examining how AI challenges human thought, feeling, and behavior. It
explores eight critical psychological themes – cognition, identity, emotion,
skill, influence, privacy, ethics, and trust – revealing how vulnerabilities
manifest across individual, interpersonal, group, and organizational levels.
Drawing on verified real-world examples and emerging research, each chapter
illuminates the complex dynamics between humans and AI systems. Readers
will discover practical early warning signs and evidence-based mitigation
strategies, providing powerful tools for self-reflection and risk assessment
in our rapidly evolving digital landscape. The book also examines AI’s
internal processes, exploring how machine programming can amplify human
psychological risks and speculating on future trends that will shape human-AI
interaction. Written in accessible, non-technical language, this essential
guide serves students, educationalists, researchers, psychologists, Chief AI
Officers and AI users seeking to navigate the psychological complexities of
our AI-driven world while fostering responsible technology development and
building genuine trust in artificial intelligence applications.

Philip M. Smith is an Organisation and Business Psychology consultant to
large global organisations who has held faculty appointments at the London
School of Economics, the University of Bristol, the University of British
Columbia, Cranfield School of Management and Hong Kong University
School of Professional and Continuing Education. A founding member of
the Human Factors Group of the Royal Aeronautical Society, he has worked
with safety critical and regulated industries on leadership development and
the mitigation of behavioural risk for more than 30 years.