Human-Computer Interaction Lab: Brown Bag Lunch Speaker Series
Event Start Date:
Thursday, November 5, 2020
- 12:30 pm
Event End Date:
Thursday, November 5, 2020 - 1:30 pm
Location: Virtual
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Thursday, November 5, 2020 12:30 pm
Thursday, November 5, 2020 1:30 pm
America/New York
Human-Computer Interaction Lab: Brown Bag Lunch Speaker Series
HUMAN-CENTERED AI: 15 RECOMMENDATIONS FOR BRIDGING FROM ETHICS TO PRACTICE
Date: Thur Nov 5 & every Thurs during the semester
Time: 12:30p – 1:30p
Join us via Zoom each week at this same link
https://umd.zoom.us/j/92820973827
Talk Abstract:
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.
Speaker 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 (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, 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.
Ben is the co-author with Catherine Plaisant 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.
Virtual
HUMAN-CENTERED AI: 15 RECOMMENDATIONS FOR BRIDGING FROM ETHICS TO PRACTICE
Date: Thur Nov 5 & every Thurs during the semester
Time: 12:30p – 1:30p
Join us via Zoom each week at this same link
https://umd.zoom.us/j/92820973827
Talk Abstract:
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.
Speaker 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 (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, 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.
Ben is the co-author with Catherine Plaisant 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.
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