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Events for October 19, 2023
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CS Colloquium: Marynel Vazquez (Yale University) - Towards Robots with Increased Social Context Awareness
Thu, Oct 19, 2023 @ 02:00 PM - 03:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Marynel Vazquez, Yale University
Talk Title: Towards Robots with Increased Social Context Awareness
Abstract: It is common to study human-robot interactions in well-controlled laboratory environments that vary in limited ways during the encounters. However, many real-world applications require robot adaptation to dynamic interaction scenarios. For example, robots may navigate across different places or interact with different people as they try to complete a task. Fundamental to this adaptation is a robot's ability to reason about their social context. How should we abstract this context in Human-Robot Interaction (HRI)? What models should we use to reason about the many contextual factors that matter to an application of interest? In this talk, I will describe experimental work that highlights the importance of reasoning about different contextual factors in HRI. Then, I will present recent results on leveraging graph abstractions and relational data-driven models to make inferences about the context of interactions and drive robot behavior. Further, because data is generally scarce in HRI, I will also describe two directions to facilitate data collection in Human-Robot Interaction. One direction focuses on creating an open robot platform for studying social interactions in public environments. The other one aims to scale HRI data collection for early system development and testing via online interactive surveys. We have begun to explore the latter idea for social robot navigation but, thanks to advances in game development engines, it could be easily applied to other HRI application domains.
This lecture satisfies requirements for CSCI 591: Research Colloquium
Biography: Marynel Vázquez is an Assistant Professor in Yale's Computer Science Department, where she leads the Interactive Machines Group. Her research focuses on Human-Robot Interaction (HRI), especially in multi-party and group settings. Marynel is a recipient of the 2022 NSF CAREER Award, two Amazon Research Awards and a Google Research Scholar Award. Recently, her work has been recognized with best paper awards at HRI'23 and RO-MAN'22. Prior to Yale, Marynel was a Post-Doctoral Scholar at the Stanford Vision & Learning Lab and obtained her M.S. and Ph.D. in Robotics from Carnegie Mellon University, where she was a collaborator of Disney Research. Before then, she received her bachelor's degree in Computer Engineering from Universidad Simón BolÃvar in Caracas, Venezuela.
Host: Stefanos Nikolaidis
Location: Olin Hall of Engineering (OHE) - 132
Audiences: Everyone Is Invited
Contact: CS Faculty Affairs
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CAIS Webinar: ChatGPT and Large Language Models for Social Work Science: Ethical Challenges, Opportunities, and Next Steps
Thu, Oct 19, 2023 @ 02:00 PM - 03:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. Aviv Landau, UPenn
Talk Title: ChatGPT and Large Language Models for Social Work Science: Ethical Challenges, Opportunities, and Next Steps
Abstract: Dr. Aviv Landau will discuss and outline the challenges and opportunities that ChatGPT and other large language models pose across bias, legality, ethics, data privacy, confidentiality, informed consent, and academic misconduct. Furthermore, he will talk about initial research in implementing ChatGPT in social work research promoting advocacy.
This lecture satisfies requirements for CSCI 591: Research Colloquium
Biography: Aviv Y. Landau is the Co Director of SAFElab and a research assistant professor at UPenns School of Social Policy and Practice. His research focuses on developing and implementing interdisciplinary computational and social work approaches. Landaus main topics of interest are youth health disparities, ethical artificial intelligence, and social media.
Register for the Zoom webinar here: https://usc.zoom.us/webinar/register/WN_Babi0TKrSAKyoZ4tFSI1pQ
Host: CAIS
More Info: https://usc.zoom.us/webinar/register/WN_Babi0TKrSAKyoZ4tFSI1pQ
Audiences: Everyone Is Invited
Contact: Melissa Ochoa
Event Link: https://usc.zoom.us/webinar/register/WN_Babi0TKrSAKyoZ4tFSI1pQ
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CS Colloquium: Michael Pazzani (ISI/USC) - Expert-Informed, User-Centric Explanations for Image Classification with Deep Learning
Thu, Oct 19, 2023 @ 04:00 PM - 05:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Michael Pazzani, ISI / USC
Talk Title: Expert-Informed, User-Centric Explanations for Image Classification with Deep Learning
Series: Computer Science Colloquium
Abstract: We argue that the dominant approach to explainable AI for explaining image classification with deep learning-“ annotating images with heatmaps, provides little value for users unfamiliar with deep learning. Instead, we argue that explainable AI for images should produce output like experts produce when communicating with one another, with apprentices, and with novices. We discuss a bit of the history of interpretable and explainable AI with examples from AI & medicine. A new approach that labels image regions with diagnostic features is proposed and evaluated. We draw on examples from radiology, ophthalmology, dermatology as well as bird classification.
This lecture satisfies requirements for CSCI 591: Research Colloquium
Biography: Michael Pazzani is a Principal Scientist at the Information Sciences Institute at the University of Southern California. Dr. Pazzani was the Vice Chancellor for Research and Economic Development at the University of California, Riverside where he was also a professor of computer science with additional appointments in statistics and psychology. From 2006-2012 he was the Vice President for Research and Economic Development at Rutgers, the State University of New Jersey, where he was also a Distinguished Professor of Computer Science. Prior to his appointment at Rutgers, Dr. Pazzani was the Director of the Information and Intelligent Systems Division at the National Science Foundation. He also served as a member of the Board of Regents of the National Library of Medicine at the National Institutes of Health from 2003- 2005. In 2019, Dr. Pazzani was appointed to the Defense Science Board. Dr. Pazzani started his career as an assistant, associate, and full professor as well as department chair of Information and Computer Science at the University of California, Irvine.
Host: CS Department
Location: Olin Hall of Engineering (OHE) - 136
Audiences: Everyone Is Invited
Contact: CS Faculty Affairs
