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SUNMONTUEWEDTHUFRISAT
Conferences, Lectures, & Seminars
Events for February
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CAIS Seminar: Daniel Leightley (King’s Centre for Military Health Research) - Drinks: Ration: Managing Alcohol Misuse by Automation
Wed, Feb 03, 2021 @ 01:00 PM - 02:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Daniel Leightley, King's Centre for Military Health Research and the NIHR Biomedical Research Centre
Talk Title: Drinks: Ration: Managing Alcohol Misuse by Automation
Series: USC Center for Artificial Intelligence in Society (CAIS) Seminar Series
Abstract: Technological advances within smart phone devices are creating new innovative routes to improve monitoring, delivery, and effectiveness of clinical interventions. In this talk, I will present Drinks: Ration, a smart phone app designed to reduce alcohol misuse in veterans through the application of machine learning and behavioral change theory. This combination enables us to personalize both the content of Drinks: Ration and messaging to promote healthy lifestyle changes in the armed forces community.
Register in advance for this webinar at:
https://usc.zoom.us/webinar/register/WN_87CjZnUESYaB5Z1MR18KwA
After registering, attendees will receive a confirmation email containing information about joining the webinar.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Dr. Daniel Leightley is a Post-Doctoral Research Associate at the King's Centre for Military Health Research and the NIHR Biomedical Research Centre. His research focuses on the interface between machine learning and mobile health technologies, specifically focused on diagnosis, treatment, intervention and management of physical and mental health conditions.
Host: USC Center for Artificial Intelligence in Society (CAIS)
Webcast: https://usc.zoom.us/webinar/register/ WN_87CjZnUESYaB5Z1MR18KwALocation: Online Zoom Webinar
WebCast Link: https://usc.zoom.us/webinar/register/ WN_87CjZnUESYaB5Z1MR18KwA
Audiences: Everyone Is Invited
Contact: Computer Science Department
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CS Distinguished Lecture: Ayanna Howard (Georgia Institute of Technology) - Hacking the Human Bias in the Robotics Machine
Thu, Feb 04, 2021 @ 04:00 PM - 05:20 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Ayanna Howard, Georgia Institute of Technology
Talk Title: Hacking the Human Bias in the Robotics Machine
Series: Computer Science Distinguished Lecture Series
Abstract: People tend to overtrust sophisticated computing devices, including robotic systems. As these systems become more fully interactive with humans during the performance of day-to-day activities, the role of bias in these human-robot interaction scenarios must be more carefully investigated. Bias is a feature of human life that is intertwined, or used interchangeably, with many different names and labels -“ stereotypes, prejudice, implicit or subconsciously held beliefs. In the digital age, this bias has often been encoded in and can manifest itself through AI algorithms, which humans then take guidance from, resulting in the phenomenon of excessive trust. Trust conveys the concept that when interacting with intelligent systems, humans tend to exhibit similar behaviors as when interacting with other humans; thus, the concern is that people may under-appreciate or misunderstand the risk associated with handing over decisions to an intelligent agent. Bias further impacts this potential risk for trust, or overtrust, in that these systems are learning by mimicking our own thinking processes, inheriting our own implicit biases. Consequently, the propensity for trust and the potential of bias may have a direct impact on the overall quality of the interaction between humans and machines, whether the interaction is in the domains of healthcare, job-placement, or other high-impact life scenarios. In this talk, we will discuss this phenomenon of integrated trust and bias through the lens of intelligent systems that interact with people in scenarios that are realizable in the near-term.
Register in advance for this webinar at:
https://usc.zoom.us/webinar/register/WN_FtvySGKTReuCvZr_2cpAeQ
After registering, attendees will receive a confirmation email containing information about joining the webinar.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Ayanna Howard, Ph.D. is the Linda J. and Mark C. Smith Professor and Chair of the School of Interactive Computing at the Georgia Institute of Technology. She also holds a faculty appointment in the School of Electrical and Computer Engineering and serves on the Board of Directors for the Partnership on AI and Autodesk. Dr. Howard's career focus is on intelligent technologies that must adapt to and function within a human-centered world. Her work, which encompasses advancements in artificial intelligence (AI), assistive technologies, and robotics, has resulted in over 250 peer-reviewed publications in a number of projects - from healthcare robots in the home to AI-powered STEM apps for children with diverse learning needs. To date, her unique accomplishments have been highlighted through a number of awards and articles, including highlights in USA Today, Upscale, and TIME Magazine, as well as being recognized as one of the 23 most powerful women engineers in the world by Business Insider and one of the Top 50 U.S. Women in Tech by Forbes. In 2013, she also founded Zyrobotics, which develops STEM educational products to engage children of all abilities. Prior to Georgia Tech, Dr. Howard was a Senior Robotics Researcher and Deputy Manager in the Office of the Chief Scientist at NASA's Jet Propulsion Laboratory. She has also served as the Associate Director of Research for the Institute for Robotics and Intelligent Machines, Chair of the Robotics Ph.D. program, and the Associate Chair for Faculty Development in ECE at Georgia Tech.
Host: Heather Culbertson
Webcast: https://usc.zoom.us/webinar/register/WN_FtvySGKTReuCvZr_2cpAeQLocation: Online Zoom Webinar
WebCast Link: https://usc.zoom.us/webinar/register/WN_FtvySGKTReuCvZr_2cpAeQ
Audiences: Everyone Is Invited
Contact: Computer Science Department
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CS Distinguished Lecture: Jodi Forlizzi (Carnegie Mellon University) - Designing Human Interaction with Agents and Robots
Thu, Feb 18, 2021 @ 04:00 PM - 05:20 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Jodi Forlizzi, Carnegie Mellon University
Talk Title: Designing Human Interaction with Agents and Robots
Series: Computer Science Distinguished Lecture Series
Abstract: Over the last decade, the idea that robots and agents might participate meaningfully in complex group and organizational contexts has developed from a promising vision into a reality. Robots now assist humans in simple tasks such as delivery through complex, high-stakes tasks such as disaster response and surgery. In this talk, I will introduce the discipline of design and describe, with examples from our work, how it is a critical research practice in designing complex agent and robot systems that fit in a number of social and organizational contexts and support all aspects of interaction.
Register in advance for this webinar at:
https://usc.zoom.us/webinar/register/WN_yJnd7cRcTqGnpXIwQQ79hg
After registering, attendees will receive a confirmation email containing information about joining the webinar.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Jodi Forlizzi is the Geschke Director and a Professor of Human-Computer Interaction in the School of Computer Science at Carnegie Mellon University. She is also the Diversity, Equity, and Inclusion Lead in the School of Computer Science. She is responsible for establishing design research as a legitimate form of research in HCI that is different from, but equally as important as, scientific and human science research. Jodi has advocated for design research in all forms, mentoring peers, colleagues, and students in its structure and execution, and today it is an important part of the HCI community. Her current research interests include designing human-robot interaction as a service and human-AI collaboration in the domains of eldercare, accessibility, human assistance, and overall wellbeing.
Host: Heather Culbertson
Webcast: https://usc.zoom.us/webinar/register/WN_yJnd7cRcTqGnpXIwQQ79hgLocation: Online Zoom Webinar
WebCast Link: https://usc.zoom.us/webinar/register/WN_yJnd7cRcTqGnpXIwQQ79hg
Audiences: Everyone Is Invited
Contact: Computer Science Department
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CS Distinguished Lecture: Rada Mihalcea (University of Michigan) - Moving Away from One-Size-Fits-All Natural Language Processing
Thu, Feb 25, 2021 @ 04:00 PM - 05:20 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Rada Mihalcea, University of Michigan
Talk Title: Moving Away from One-Size-Fits-All Natural Language Processing
Series: Computer Science Distinguished Lecture Series
Abstract: The typical approach in natural language processing is to use one-size-fits-all representations, obtained from training one model on very large text collections. While this approach is effective for those people whose language style is well represented in the data, it fails to account for variations between people, and often leads to decreased performance for those in the minority. In this talk, I will challenge the one-size-fits-all assumption, and show that (1) we can identify words that are used in significantly different ways by speakers from different cultures; and (2) we can effectively use information about the people behind the words to build better natural language processing models.
Register in advance for this webinar at:
https://usc.zoom.us/webinar/register/WN_05SDnJisSNa9_iJj-5PLfw
After registering, attendees will receive a confirmation email containing information about joining the webinar.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Rada Mihalcea is the Janice M. Jenkins Collegiate Professor of Computer Science and Engineering at the University of Michigan and the Director of the Michigan Artificial Intelligence Lab. Her research interests are in computational linguistics, with a focus on lexical semantics, multilingual natural language processing, and computational social sciences. She serves or has served on the editorial boards of the Journals of Computational Linguistics, Language Resources and Evaluations, Natural Language Engineering, Journal of Artificial Intelligence Research, IEEE Transactions on Affective Computing, and Transactions of the Association for Computational Linguistics. She was a program co-chair for EMNLP 2009 and ACL 2011, and a general chair for NAACL 2015 and *SEM 2019. She currently serves as ACL President. She is the recipient of a Presidential Early Career Award for Scientists and Engineers awarded by President Obama (2009), an ACM Fellow (2019) and a AAAI Fellow (2021). In 2013, she was made an honorary citizen of her hometown of Cluj-Napoca, Romania.
Host: Xiang Ren
Webcast: https://usc.zoom.us/webinar/register/WN_05SDnJisSNa9_iJj-5PLfwLocation: Online Zoom Webinar
WebCast Link: https://usc.zoom.us/webinar/register/WN_05SDnJisSNa9_iJj-5PLfw
Audiences: Everyone Is Invited
Contact: Computer Science Department
