Human-Centered AI

Ben Shneiderman is an emeritus distinguished university professor in the Department of Computer Science at the University of Maryland. His widely used contributions include clickable highlighted weblinks, high-precision touchscreen keyboards for mobile devices, and tagging for photos. Shneiderman's information visualization innovations include dynamic query sliders for Spotfire, development of treemaps for viewing hierarchical data, novel network visualizations for NodeXL, and event sequence analysis for electronic health records. Shneiderman is also the 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 Skeptics 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 Chapter 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.