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SUNMONTUEWEDTHUFRISAT
Events for November 07, 2024
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USC Quantum Technologies Forum
Thu, Nov 07, 2024 @ 09:00 AM - 05:30 PM
USC Viterbi School of Engineering
University Calendar
The USC Quantum Initiative will be publicly announced on Nov 7 with an all-day event (9-5:30) at USC Town and Gown Ballroom – USC Quantum Technologies Forum. We are expecting more than 150 attendees with more than 50 corporate representatives, including VCs and start-ups, plus USC quantum faculty, students, and staff, along with quantum faculty colleagues from other Southern California universities and some local govt officials. Must be registered by Nov 4 to attend. Contact: Maurena Nacheff-Benedict, Asst Dean, Viterbi Corporate & Foundation Relations
Location: Town & Gown (TGF) -
Audiences: By invitation
Contact: Andie Self
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NL Seminar-OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM Assistants
Thu, Nov 07, 2024 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Jaspreet Ranjit, USC
Talk Title: OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM Assistants
Series: NL Seminar
Abstract: REMINDER: Meeting hosts only admit on-line guests that they know to the Zoom meeting. Hence, you’re highly encouraged to use your USC account to sign into Zoom. If you’re an outside visitor, please inform us at (nlg-seminar-host(at)isi.edu) to make us aware of your attendance so we can admit you. Specify if you will attend remotely or in person at least one business day prior to the event Provide your: full name, job title and professional affiliation and arrive at least 10 minutes before the seminar begins. If you do not have access to the 6th Floor for in-person attendance, please check in at the 10th floor main reception desk to register as a visitor and someone will escort you to the conference room location. ZOOM INFO: https://usc.zoom.us/j/91020044560?pwd=HDtcMbDbHjlohYmDCyDO9brk7PUpeG.1 Meeting ID: 910 2004 4560 Passcode: 920185 Public attitudes towards key societal issues, expressed on online media, are of immense value in policy and reform efforts, yet challenging to understand at scale. We study one such social issue: homelessness in the U.S., by leveraging the remarkable capabilities of large language models to assist social work experts in analyzing millions of posts from Twitter. We introduce a framing typology: Online Attitudes Towards Homelessness (OATH) Frames: nine hierarchical frames capturing critiques, responses and perceptions. We release annotations with varying degrees of assistance from language models, with immense benefits in scaling: 6.5× speedup in annotation time while only incurring a 3 point F1 reduction in performance with respect to the domain experts. Our experiments demonstrate the value of modeling OATH-Frames over existing sentiment and toxicity classifiers. Our large-scale analysis with predicted OATH-Frames on 2.4M posts on homelessness reveal key trends in attitudes across states, time periods and vulnerable populations, enabling new insights on the issue. Our work provides a general framework to understand nuanced public attitudes at scale, on issues beyond homelessness.
Biography: Jaspreet Ranjit is a third-year Computer Science PhD student at the University of Southern California, advised by Professor Swabha Swayamdipta in the DILL Lab and also a Student Leader of the Center for AI in Society. Her research interests lie in investigating to what extent language models can help us understand sensitive societal issues (i.e. homelessness, suicide interventions) by exploring collaborative settings between social science experts and generative models. Previously, she earned her M.S. and B.S. degree from the University of Virginia in Computer Science as a Rodman Scholar.
Host: Jonathan May and Katy Felkner
More Info: https://www.isi.edu/research-groups-nlg/nlg-seminars/
Webcast: https://www.youtube.com/watch?v=j5unlGhB-I4Location: Information Science Institute (ISI) - Conf Rm#689
WebCast Link: https://www.youtube.com/watch?v=j5unlGhB-I4
Audiences: Everyone Is Invited
Contact: Pete Zamar
Event Link: https://www.isi.edu/research-groups-nlg/nlg-seminars/
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Seminar: Responsible and User-Controllable Artificial Intelligence
Thu, Nov 07, 2024 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: PrzemysÅaw (Przemek) Kazienko, Full Professor, Wroclaw University of Science and Technology
Talk Title: Responsible and User-Controllable Artificial Intelligence
Abstract: AI has a major positive impact on the economy and their users, providing them with a better experience, increased satisfaction, saving time and even expanding their horizons. Here, however, we focus on the potential negative impact of AI on humans, such as reinforcement of information bubbles, addiction, excessive use, reduced concentration, creativity and curiosity, enhanced consumerism, weakened autonomy to make free choices, interpersonal communication, and human relationships. We indicate what human features cause our increased susceptibility to the influence of RSs and what manipulation mechanisms they can potentially and even unintentionally exploit. We show some use cases in which the goals pursued by business may conflict with the goals of their users. it is also observable that AI-based approaches are evolving from decision-support to decision-making systems. Consequently, we propose the concept of Responsible AI, which respects the goals and beliefs of their users in addition to business goals. Another solution are user-controllable AI systems that may be incorporated in recently investigated Large Language Models (LLMs).
Biography: PrzemysÅaw (Przemek) Kazienko, Ph.D. is a full professor and leader of three research groups: AI and human values, HumaNLP, and Emognition at Wroclaw Tech (Wroclaw University of Science and Technology), Poland. Research carried out by HumaNLP refer to human aspects of NLP, including subjectivity, personalization, context-based NLP, hate speech, emotions, user-controlled LLMs, etc. The Emognition group focuses on emotion recognition from physiological signals. He has authored over 300 research papers, including 50 in journals with impact factor related to personalization and subjective tasks in NLP, Large Language Models (LLMs), self-learning LLMs, ethics and responsibility in AI, affective computing and emotion recognition, social/complex network analysis, deep machine learning, sentiment analysis, collaborative systems, recommender systems, information retrieval, data security, and many others. He gave 30+ keynote/invited talks to international audiences and served as a co-chair of over 20 international scientific conferences and workshops. Also, he initialized and led over 50 projects, including large European ones, chiefly in cooperation with companies with total local budget over €10M. He is an IEEE Senior Member, a member of the Polish Committee for Standardization in AI, and the Ethics Committee for the LLM development.
Host: Shrikanth Narayanan, shri@usc.edu | Kleanthis Avramidis, avramidi@usc.edu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 248
Audiences: Everyone Is Invited
Contact: Miki Arlen
