Human-Centered AI

BEN SHNEIDERMAN is an Emeritus Distinguished University Professor in the Department of Computer Science, Founding Director (1983-2000) of the Human-Computer Interaction Laboratory, and a Member of the UM Institute for Advanced Computer Studies (UMIACS) at the University of Maryland. He is a Fellow of the AAAS, ACM, IEEE, NAI, and the Visualization Academy, and a Member of the US National Academy of Engineering, in recognition of his pioneering contributions to human-computer interaction and information visualization.

• PART 1 WHAT IS HUMAN-CENTERED ARTIFICIAL INTELLIGENCE? 1: Introduction: High Expectations 2: How Do Rationalism and Empiricism Provide Sound Foundations? 3: Are People and Computers in the Same Category? 4: Will Automation, AI, and Robots Lead to Widespread Unemployment? 5: Summary and Skeptic's Corner PART 2 HUMAN-CENTERED AI FRAMEWORK 6: Introduction: Rising Above the Levels of Automation 7: Defining Reliable, Safe, and Trustworthy Systems 8: Two-Dimensional HCAI Framework 9: Design Guidelines and Examples 10: Summary and Skeptic's Corner PART 3 DESIGN METAPHORS 11: Introduction: What Are the Goals of AI Research? 12: Science and Innovation Goals 13: Intelligent Agents and Supertools 14: Teammates and Tele-bots 15: Assured Autonomy and Control Centers 16: Social Robots and Active Appliances 17: Summary and Skeptic's Corner PART 4 GOVERNANCE STRUCTURES 18: Introduction: How to Bridge the Gap from Ethics to Practice 19: Reliable Systems Based on Sound Software Engineering Practices 20: Safety Culture through Business Management Strategies 21: Trustworthy Certification by Independent Oversight 22: Government Interventions and Regulations 23: Summary and Skeptic's Corner PART 5 WHERE DO WE GO FROM HERE? 24: Introduction: Driving HCAI Forward 25: Assessing Trustworthiness 26: Caring for and Learning from Older Adults 27: Summary and Skeptic's Corner Personal Epilogue: How I Became Passionate about Human-Centered Approaches Notes Bibliography Name Index Subject Index

The book will be of interest to anyone interested in AI-including software engineers, designers, computer scientists, policymakers and philosophers -- and our future. Its writing style is accessible, and consequently can be read by both experts and novices. It may also be useful for pedagogical purposes.