TUTORIAL: Human Centered AI: Reliable, Safe & Trustworthy

TUTORIAL: Human Centered AI:
Reliable, Safe & Trustworthy

Thursday May 27, 2021
1pm – 4pm EST

A tutorial organized as part of the Human-Computer Interaction Lab Annual Symposium

Ben Shneiderman
Dept of Computer Science & Human-Computer Interaction Lab
University of Maryland, College Park, MD, USA
ben@cs.umd.edu      @benbendc

Abstract

This 3-hour tutorial proposes a new synthesis, in which Artificial Intelligence (AI) algorithms are combined with human-centered thinking to make Human-Centered AI (HCAI). This approach combines research on AI algorithms with user experience design methods to shape technologies that amplify, augment, empower, and enhance human performance. Researchers and developers for HCAI systems value meaningful human control, putting people first by serving human needs, values, and goals.

The tutorial offers three ideas:

  • an HCAI framework, which shows how it is possible to have both high levels of human control AND high levels of automation,
  • design metaphors that combine ideas of intelligent autonomous teammates with powerful supertools, active appliances, and tele-operated devices, and
  • governance structures to guide software engineering teams to develop more reliable systems, describe how managers can emphasize a safety culture across teams, advocate industry-specific oversight to promote trustworthy HCAI systems, and clarify how government regulation can accelerate innovation.

The tutorial will include many examples, references to further work, and discussion time for questions. These ideas are drawn from Ben Shneiderman’s forthcoming book (Oxford University Press, early 2022).  Further information at: https://hcil.umd.edu/human-centered-ai

BEN SHNEIDERMAN (http://www.cs.umd.edu/~ben) is an Emeritus Distinguished University Professor in the Department of Computer Science, Founding Director (1983-2000) of the Human-Computer Interaction Laboratory (http://hcil.umd.edu), 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 U.S. National Academy of Engineering, in recognition of his pioneering contributions to human-computer interaction and information visualization. His widely-used contributions include the clickable highlighted web-links, 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.

Ben is the lead author of Designing the User Interface: Strategies for Effective Human-Computer Interaction (6th ed., 2016). He co-authored Readings in Information Visualization: Using Vision to Think (1999) and Analyzing Social Media Networks with NodeXL (2nd edition, 2019). His book Leonardo’s Laptop (MIT Press) won the IEEE book award for Distinguished Literary Contribution. The New ABCs of Research: Achieving Breakthrough Collaborations (Oxford, 2016) describes how research can produce higher impacts. His forthcoming book on Human-Centered AI, will be published by Oxford University Press in early 2022.