Event Description

Selected as the National AI Institute for Foundations of Machine Learning (IFML) by the National Science Foundation (NSF) in 2020, we are partnering with the Texas Advanced Computing Center (TACC) to widen the knowledge and teaching of Machine Learning and AI in High Schools. 

Presented by Ken Fleischmann.

How can we design AI to benefit society? In this talk, I will discuss the stakes involved in ensuring that AI is aligned with the values of end users and other stakeholders, I will describe the global and contemporary approach that I take to teaching the ethical implications of AI, and will provide examples of AI-based projects that are designed to benefit society drawn from the work of Good Systems, a UT Grand Challenge. I will also introduce some of the educational opportunities here at UT Austin, including our Signature Course on Ethics of AI and the new undergraduate major in Informatics.

Kenneth R. Fleischmann is a Professor in the School of Information (iSchool) at The University of Texas at Austin, Founding Director of Undergraduate Studies for the iSchool's new undergraduate major in Informatics, and Founding Chair of Good Systems, a UT Grand Challenge. His research focuses on the ethics of artificial intelligence (AI), including the role of human values such as transparency, trust, and human agency in the design and use of AI-based technologies. His research awards include the iConference Best Paper Award, the iConference Best Short Research Paper Award, the ASIS&T SIG-USE Best Information Behavior Conference Paper Award, the ASIS&T SIG-SI Social Informatics Best Paper Award, the Civic Futures Award for Designing for the 100%, and the MetroLab Innovation of the Month.

Logistics

A Zoom link will be sent to registrants prior to the webinar.

Schedule

Thursday, July 8, 2021

10:00-11:00am Central Time

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You can view the full list of webinars and recordings on our AI / ML Webinar Series page at https://utakeit.tacc.utexas.edu/r/AI_ML_webinars_2021/ 

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About the Institute for Foundations of Machine Learning - a National AI Research Institute

Designated by the National Science Foundation (NSF) in 2020, we are the National AI Institute for Foundations of Machine Learning (IFML). We develop the key foundational tools for the next decade of AI innovation leveraging the combined forces of The University of Texas at Austin, University of Washington, Wichita State University, and Microsoft Research. Our researchers create new algorithms that can help machines learn on the fly, change their expectations as they encounter people and objects in real life, and even bounce back from deliberate attempts by adversaries to manipulate datasets.

This program is supported by the National Science Foundation Award FAIN 2019844.