Integrating Human and Artificial Intelligence

This timely book captures recent developments in AI and their far-reaching implications across education, cognition, business, healthcare, and environmental sectors.

This timely book captures recent developments in artificial intelligence (AI) and their far-reaching implications across education, cognition, business, healthcare, and environmental sectors.

Drawing from current academic research, government reports, and industry insights, Integrating Human and Artificial Intelligence provides a comprehensive yet accessible overview of the rapid evolution of AI. It helps readers understand in non-technical terms what AI is, what it is capable of achieving, and how to combine the best skills of artificial and human intelligence to develop a human-centered AI. This will be vital to overcome challenges to protect data privacy, promote fairness, minimize bias, and be culturally responsive. The book's broad scope and contemporary focus make it a welcome addition to the field, especially as an educational resource introducing students and practitioners to the practical applications and societal impact of AI.

Well-grounded in recent scholarship, this book will be particularly valuable for students and researchers of cognitive psychology, AI, and technology.

Autorentext

Stephen K. Reed is an Emeritus Professor of Psychology at San Diego State University where he was a member of the Center for Research in Mathematics and Science Education. His recent books are Cognitive Skills You Need for the 21st Century (2020), Thinking Visually 2nd Ed (2021), Cognition: Theory and Applications 10th Ed (2022), and Encouraging Innovation: Cognition, Education, and Implementation (2023).

Inhalt

Preface

1 Introduction

Software

Artificial Intelligence

Human Intelligence

Human-Centered AI

Organization of the Book

Summary

PART 1 Education

2 Pre-university Programming Instruction

Computational Thinking

Teaching Programming with Robotics

Teaching Programming with Computer Languages

Teaching Programming with Games

Effectiveness of Programming Instruction

Summary

3 Pre-university AI Instruction

National Policies

Guidelines for AI Instruction

AI Courses

Recommendations for AI Instruction

Summary

4 University Instruction

Technology Skills

Technology Courses

Impact of ChatGPT

Student Assessment

Summary

PART 2 Cognition

5 Learning

Instructional Design Principles

Instructional Games

Social Skills

Virtual, Augmented, and Mixed Reality

Summary

6 Decision Making

Human-Computer Interactions

Trustworthy AI

Explainable AI

Evaluating Data

Summary

7 Problem Solving

Design

Creativity

Artificial General Intelligence

Organizing Knowledge

Summary

PART 3 Applications

8 Business

Emerging Principles

Software Development

Software Adoption

Business Applications

Summary

9 Media

Individual Effects

Society Effects

Visual Media

Regulations

Summary

10 Health

Diagnosis

Cognitive Assistants

Telemedicine

Integrated Healthcare

Summary

11 Environment

Climate Change

Natural Resources

Smart Cities

Transportation

Summary

12 Technology

Industry and Society

Emerging Technology

Quantum Computers

Supportive Software

Summary

Reflections

Subject Index

Name Index