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Conferences, Lectures, & Seminars
Events for October
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When does human-centered AI (fail to) scale?
Wed, Oct 02, 2024 @ 02:00 PM - 03:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. Angel Hwang (she/her), Assistant Professor, USC Annenberg School for Communication and Journalism
Talk Title: When does human-centered AI (fail to) scale?
Abstract: State-of-the-art AI systems are built and deployed at the societal scale, increasing the need to consider sociotechnical factors for implementing systems of such magnitude. In contrast, individual user experience has long been the core of designing and developing user-friendly technologies. Through a series of experiments and case studies, I examine challenges and breakdowns as one extends individual-centered approaches to design societal-scale AI systems.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Angel Hsing-Chi Hwang (she/her) is an Assistant Professor at USC Annenberg School for Communication and Journalism. Her research explores the societal impact of AI-powered technologies on work practices. In her past and present work, she focuses on how practitioners design, build, and/or apply AI to facilitate group interaction, produce creative content, and balance everyday wellness.
Host: CAIS
More Info: https://cais.usc.edu/events/usc-cais-seminar-with-dr-angel-hwang/
Location: Montgomery Ross Fisher Building (school Of Social Work) (MRF) - 102
Audiences: Everyone Is Invited
Contact: Thomas Lord Department of Computer Science
Event Link: https://cais.usc.edu/events/usc-cais-seminar-with-dr-angel-hwang/
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USC CAIS Seminar with Dr. Frederic Reamer
Wed, Oct 16, 2024 @ 02:00 PM - 03:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. Frederic Reamer, Professor Emeritus, School of Social Work - Rhode Island College
Talk Title: USC CAIS Seminar with Dr. Frederic Reamer
Abstract: Artificial intelligence (AI) is becoming increasingly prevalent in the behavioral health professions. AI is being used to conduct client risk assessments; assist people in crisis; strengthen prevention efforts; document clinical services; identify systemic biases in the delivery of services; provide professional education and clinical supervision; and predict practitioner burnout and service outcomes, among other uses.
This webinar will examine cutting-edge ethical issues related to behavioral health practitioners’ use of AI; apply relevant ethical standards; and outline key elements of a strategy for practitioners’ ethical use of AI. Join Dr. Frederic Reamer as he examines ethical issues and risks related to informed consent and client autonomy; privacy and confidentiality; transparency; potential client misdiagnosis; client abandonment; client surveillance; plagiarism, dishonesty, fraud, and misrepresentation; algorithmic bias and unfairness; and use of evidence-based AI tools.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Register for Zoom webinar: https://usc.zoom.us/webinar/register/WN_DC48EaIORMy9ePEE86IGiA
Biography: Frederic G. Reamer has been on the faculty of the School of Social Work, Rhode Island College since 1983. His research and teaching have addressed a wide range of human service issues, including mental health, health care, criminal justice, public welfare, and professional ethics. Dr. Reamer received his Ph.D. (social work) from the University of Chicago. He has served as a social worker in correctional and mental health settings.
He serves as Associate Editor of the National Association of Social Workers Encyclopedia of Social Work (Oxford University Press and National Association of Social Workers). Since 2012, Dr. Reamer has served as the ethics instructor in the Providence (RI) Police Department Training Academy. Dr. Reamer has conducted extensive research on professional ethics. He has published 25 books and more than 190 journal articles, book chapters, and encyclopedia articles.
Dr. Reamer is the recipient of awards such as the NASW Mit Joyner Presidential Award, NASW Social Work Pioneer Award, and NASW Excellence in Ethics Award.
Host: CAIS
More Info: https://cais.usc.edu/events/usc-cais-seminar-with-dr-frederic-reamer/
Webcast: https://usc.zoom.us/webinar/register/WN_DC48EaIORMy9ePEE86IGiALocation: Zoom Webinar
WebCast Link: https://usc.zoom.us/webinar/register/WN_DC48EaIORMy9ePEE86IGiA
Audiences: Everyone Is Invited
Contact: Thomas Lord Department of Computer Science
Event Link: https://cais.usc.edu/events/usc-cais-seminar-with-dr-frederic-reamer/
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Generative Models and the Transport of Measure
Tue, Oct 22, 2024 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Gavin Kerrigan, PhD Candidate - Department of Computer Science, UC Irvine
Talk Title: Generative Models and the Transport of Measure
Abstract: A key theme in contemporary generative modeling is the continuous transport of measure, in which a simple reference distribution is gradually transformed into the data distribution. Many recent models, including diffusions and flows, can be viewed through this unifying lens. In this talk, we will first explore some geometric tools for studying dynamics in the space of probability measures. We will then leverage these tools to design generative models, with a focus on applications to inverse problems and complex data structures such as function-valued data.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
In-person ONLY; recording available post-presentation.
Biography: Gavin Kerrigan is a final year PhD candidate in the Department of Computer Science at UC Irvine, where he is advised by Padhraic Smyth. Prior to joining UCI, he obtained a BSc in mathematics from the Schreyer Honors College at Penn State University. His research focuses on advancing the theory and practice of deep generative models, ranging from fundamental methodology to applications in climate science. His work has been recognized through a best paper award at AISTATS'23 for contributions to function-space generative modeling.
Host: USC Machine Learning Center
Location: Ronald Tutor Hall of Engineering (RTH) - 211
Audiences: Everyone Is Invited
Contact: Thomas Lord Department of Computer Science
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USC CAIS Seminar with Dr. Tim Althoff
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, Computer Science - University of Washington
Talk Title: USC CAIS Seminar with Dr. Tim Althoff
Abstract: More details to follow.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Coming Soon.
Host: CAIS
More Info: https://cais.usc.edu/events/usc-cais-seminar-with-dr-tim-althoff/
Webcast: TBDLocation: Zoom Webinar, link TBD
WebCast Link: TBD
Audiences: Everyone Is Invited
Contact: Thomas Lord Department of Computer Science
Event Link: https://cais.usc.edu/events/usc-cais-seminar-with-dr-tim-althoff/
