[Colloquium] 1/17: Ben Shneiderman (Maryland) - Human-Centered AI: Ensuring Human Control While Increasing the Level of Automation

Rob Mitchum rmitchum at uchicago.edu
Thu Jan 12 17:00:11 CST 2023


*Part of the Computer Science/Statistics/Data Science Institute
Distinguished Speaker Series*

*Tuesday, January 17th *
*12:00pm - 1:30pm (12:00 lunch, 12:30 talk)*
*In Person: John Crerar Library 390*

*Zoom: Register for details
<https://www.eventbrite.ca/e/distinguished-speaker-series-ben-shneiderman-maryland-tickets-512255649437>*

*Ben Shneiderman*
*Emeritus Distinguished University Professor, Computer Science*
*University of Maryland*


*Human-Centered AI: Ensuring Human Control While Increasing the Level of
Automation *

*Abstract*: A new synthesis is emerging that integrates AI technologies
with Human-Computer Interaction to produce Human-Centered AI (HCAI).
Advocates of this new synthesis seek to amplify, augment, and enhance human
abilities, so as to empower people, build their self-efficacy, support
creativity, recognize responsibility, and promote social connections.

Researchers, developers, business leaders, policy makers and others are
expanding the technology-centered scope of Artificial Intelligence (AI) to
include Human-Centered AI (HCAI) ways of thinking. This expansion from an
algorithm-focused view to embrace a human-centered perspective, can shape
the future of technology so as to better serve human needs. Educators,
designers, software engineers, product managers, evaluators, and government
agency staffers can build on AI-driven technologies to design products and
services that make life better for the users. These human-centered products
and services will enable people to better care for each other, build
sustainable communities, and restore the environment. The passionate
advocates of HCAI are devoted to furthering human values, rights, justice,
and dignity, by building reliable, safe, and trustworthy systems.

The talk will include examples, references to further work, and discussion
time for questions. These ideas are drawn from Ben Shneiderman’s new
book Human-Centered
AI <https://hcil.umd.edu/human-centered-ai> (Oxford University Press,
2022).

*Bio*: 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,
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. He has received six honorary doctorates 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 new book on Human-Centered AI, was published by Oxford
University Press in Spring 2022.

*Host:* Chenhao Tan



-- 
*Rob Mitchum*

*Associate Director of Communications for Data Science and Computing*
*Department of Computer Science*
*Data Science Institute*
*University of Chicago*
*rmitchum at uchicago.edu <rmitchum at ci.uchicago.edu>*
*773-484-9890*
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