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Events for October 30, 2024
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EiS Communications Hub - Tutoring for Engineering Ph.D. Students
Wed, Oct 30, 2024 @ 10:00 AM - 12:00 PM
Viterbi School of Engineering Student Affairs
Workshops & Infosessions
Come to the EiS Communications Hub for one-on-one tutoring from Viterbi faculty for Ph.D. writing and speaking projects!
Location: Ronald Tutor Hall of Engineering (RTH) - 222A
Audiences: Viterbi Ph.D. Students
Contact: Helen Choi
Event Link: https://sites.google.com/usc.edu/eishub/home
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Computer Science General Faculty Meeting
Wed, Oct 30, 2024 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Receptions & Special Events
Bi-Weekly regular faculty meeting for invited full-time Computer Science faculty and staff only. Event details emailed directly to attendees.
Location: Ginsburg Hall (GCS) - 107
Audiences: Invited Faculty Only
Contact: Julia Mittenberg-Beirao
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Language Models as Temporary Training Wheels to Improve Mental Health
Wed, Oct 30, 2024 @ 02:00 PM - 03:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. Tim Althoff, Assistant Professor, Allen School of Computer Science - University of Washington
Talk Title: Language Models as Temporary Training Wheels to Improve Mental Health
Abstract: Access to mental health care falls short of meeting the significant need. More than one billion individuals are affected by mental health conditions, with the majority not receiving the necessary treatment. In this talk, I will describe how human-AI collaboration, critically enabled by language models, can improve access to and quality of mental health support. Language models have the potential to act as temporary training wheels providing immediate support and guidance to help individuals develop essential mental health skills. This approach emphasizes the importance of using these tools as initial aids rather than long-term crutches. By offering structured assistance, practice, and feedback, language models can help individuals and professionals learn skills, such as cognitive reframing, emotional regulation, and conflict resolution. However, the ultimate goal is for individuals to gradually transition away from dependence on these models, fostering sustained skill development and long-term well-being. This talk will describe how language models can be developed towards these aims and evaluate their effectiveness across multiple randomized trials and real-world deployments with over 150,000 participants.
Learn to challenge unhelpful thinking with your personal AI assistant at https://bit.ly/changing-thoughts
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Register for Zoom webinar here: https://usc.zoom.us/webinar/register/WN_IFvScow2St2noJndL8FucA
Biography: Tim Althoff is an associate professor in the Allen School of Computer Science & Engineering at the University of Washington. Tim’s research seeks to better understand and empower people through data and computation. His AI research has directly improved mental health services utilized by over ten million people and informed federal policy. Tim holds a Ph.D. degree from the Computer Science Department at Stanford University. His work has received various awards including WWW, 2x ICWSM, ACL, UbiComp, and IMIA Best Paper Awards, the SIGKDD Dissertation Award 2019, and an NSF CAREER Award. Tim’s research has been covered internationally by news outlets including BBC, CNN, The Economist, The Wall Street Journal, and The New York Times.
Host: CAIS
More Info: https://cais.usc.edu/events/usc-cais-seminar-with-dr-tim-althoff/
Webcast: https://usc.zoom.us/webinar/register/WN_IFvScow2St2noJndL8FucALocation: Zoom Webinar
WebCast Link: https://usc.zoom.us/webinar/register/WN_IFvScow2St2noJndL8FucA
Audiences: Everyone Is Invited
Contact: Hailey Winetrobe Nadel, MPH, CHES
Event Link: https://cais.usc.edu/events/usc-cais-seminar-with-dr-tim-althoff/
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AME Seminar
Wed, Oct 30, 2024 @ 03:30 PM - 04:30 PM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Speaker: Luis Sentis, The University of Texas at Austin
Talk Title: TBD
Abstract: TBD
Host: AME Department
Location: Seaver Science Library (SSL) - 202
Audiences: Everyone Is Invited
Contact: Tessa Yao