HCIL Brown Bag Lunch Seminar, Ben Shneiderman, "Human-Centered AI: 15 Recommendations"
HCIL Brown Bag Lunch Seminar
Human-Centered AI: 15 Recommendations for Bridging from Ethics to Practice
Distinguished University President, Emeritus
Dept. of Computer Science and affiliate, Institute for Systems Research
View on Zoom
Human-Centered Artificial Intelligence (HCAI) is a growing theme that seeks to shift the focus from algorithms to the users and many stakeholders in modern information technology systems. This talk and related article (https://dl.acm.org/doi/10.1145/3419764) attempt to bridge the gap between widely discussed ethical principles of Human-Centered AI (HCAI) and practical steps for effective governance. I propose 15 recommendations at three levels of governance: team, organization, and industry. The recommendations are intended to increase the reliability, safety, and trustworthiness of HCAI systems: (1) reliable systems based on sound software engineering practices, (2) safety culture through business management strategies, and (3) trustworthy certification by independent oversight.
http://www.cs.umd.edu/~ben> Ben Shneiderman is an Emeritus Distinguished University Professor in the Department of Computer Science, Founding Director (1983-2000) of the http://hcil.umd.edu> 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, and NAI, and a Member of the 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.