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Events for November 17, 2022
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ServiceNow Open House (Virtual, External)
Thu, Nov 17, 2022 @ 10:00 AM - 11:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
At ServiceNow, our technology makes the world work for everyone, and our people make it possible. Our diverse team is changing the world with products that make a meaningful impact on people and communities. The more of 'you' you bring to work, the better. When you join ServiceNow, the world works.
Who is ServiceNow?
ServiceNow creates digital experiences that help organizations work smarter, faster, and better. Our purpose is to make the world work better for everyone.
ServiceNow Open Houses:
We are excited to announce our new Open Houses this Fall! These Open Houses are
available to anyone that would like to learn more about ServiceNow, our culture, and opportunities. Each open house will consist of an info session about ServiceNow and breakout rooms with recruiters and ServiceNow professionals. Join us and do not miss out on all the fun!
ServiceNow Workshops:
We are excited to announce that we are bringing back our career development
workshop series. These are free, virtual, career development workshops aimed to help those looking to jumpstart their careers in the tech industry. We'll be covering valuable topics that you won't want to miss!
ServiceNow Virtual Events
- Open House September 7th | 10 to 11 am
- Stand Out at Career Fairs and Conferences
Workshop September 14th| 10 to 11 am
- Open House September 22nd | 10 to 11 am
- Open House October 5th | 10 to 11 am
- Build Your Personal Brand and Give Your LinkedIn a Makeover Workshop October 12th |10 to 11 am
- Open House October 20th | 10 to 11 am
- Open House November 2nd |10 to 11 am
- How to Ace your In-Person and Virtual Interview Workshop November 9th 10:00 AM to 11:00 AM PDT
- Open House November 17th |10 to 11 am
- Open House November 30th | 10 to 11 am
- Overcoming Imposter Syndrome Workshop December 14th | 10 to 11 am
- Open House December 15th | 10:00 to 11:00 am
Check out all of our events and RSVP HERE
External employer-hosted events and activities are not affiliated with the USC Viterbi Career Connections Office. They are posted on Viterbi Career Connections because they may be of interest to members of the Viterbi community. Inclusion of any activity does not indicate USC sponsorship or endorsement of that activity or event. It is the participants responsibility to apply due diligence, exercise caution when participating, and report concerns to vcareers@usc.edu
Location: online
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
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Machine Learning Center Seminar: Yang Liu (UC Santa Cruz) - Agency Bias in Machine Learning
Thu, Nov 17, 2022 @ 10:00 AM - 11:30 AM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Yang Liu, UC Santa Cruz
Talk Title: Agency Bias in Machine Learning
Series: Machine Learning Seminar Series
Abstract: A trained machine learning model (e.g., a classifier) will ultimately observe data generated according to agents' responses. For instance, the rising literature on strategic classification concerns the setting where agents are fully rational and can best respond to a classifier in their own interests. The above interaction will lead to a distribution shift between training and deployment and will challenge the existing performance and fairness guarantees of the trained model. In this talk, I'll discuss three types of agency bias that arise due to the above interactional effects between agents and machine learning models. I'll then go over possible mitigation efforts, including our very recent works on certifying the fairness guarantees on an unknown and possibly different deployment distribution.
References:
[1] Unfairness Despite Awareness: Group-Fair Classification with Strategic Agents. Andrew Estornell, Sanmay Das, Yang Liu and Yevgeniy Vorobeychik. Preprint, 2022.
[2] Actionable Recourse in Linear Classification. Berk Ustun, Alexander Spangher and Yang Liu
ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), 2019.
[3] Unintended Selection: Persistent Qualification Rate Disparities and Interventions. Reilly Raab and Yang Liu. Neural Information Processing Systems (NeurIPS), 2021.
[4] Fairness Transferability Subject to Bounded Distribution Shift. Yatong Chen, Reilly Raab, Jialu Wang and Yang Liu. Neural Information Processing Systems (NeurIPS), 2022.
Prof. Liu will give his talk in person at EEB 248 and we will also host the talk over Zoom.
Register in advance for this webinar at:
https://usc.zoom.us/webinar/register/WN_WtHgpFUFSbCI214E2i9q3Q
After registering, attendees will receive a confirmation email containing information about joining the webinar.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Yang Liu is currently an Assistant Professor of Computer Science and Engineering at UC Santa Cruz (2018 - present). He was previously a postdoctoral fellow at Harvard University (2016 - 2018). He obtained his Ph.D. degree from the Department of EECS, University of Michigan, Ann Arbor in 2015. He is interested in weakly supervised learning and algorithmic fairness. He is a recipient of the NSF CAREER Award and the NSF Fairness in AI award (lead PI). He has been selected to participate in several high-profile projects, including DARPA SCORE and IARPA HFC. His recent works have won four best paper awards at relevant workshops.
Host: Yan Liu
Webcast: https://usc.zoom.us/webinar/register/WN_WtHgpFUFSbCI214E2i9q3QLocation: Hughes Aircraft Electrical Engineering Center (EEB) - 248
WebCast Link: https://usc.zoom.us/webinar/register/WN_WtHgpFUFSbCI214E2i9q3Q
Audiences: Everyone Is Invited
Contact: Department of Computer Science
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NL Seminar -Pragmatic Interpretability
Thu, Nov 17, 2022 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Shi Feng, Univ of Illinois, Chicago
Talk Title: Pragmatic Interpretability
Series: NL Seminar
Abstract: Abstract: REMINDER
Meeting hosts only admit guests that they know to the Zoom meeting. Hence, you are highly encouraged to use your USC account to sign into Zoom.
If you are an outside visitor, please inform us at nlg DASH seminar DASH host AT isi DOT edu beforehand so we will be aware of your attendance and let you in.
In person attendance will be permitted for USC ISI faculty, staff, students only. Open to the public virtually via the zoom link and online.
Machine learning models have been quite successful at emulating human intelligence but their potential as intelligence augmentation is less explored. Part of the challenge is our lack of understanding in how these models work, and this is the problem interpretability is trying to tackle. But most existing interpretability work takes models trained under the emulation paradigm and adds humans into the mix post-hoc-the human's role is largely an afterthought. In this talk, I advocate for a more pragmatic approach to interpretability and emphasize modeling the human's needs in their cooperation with AIs. In the first part, I discuss how the human-AI team can be evaluated and optimized as a unified decision-maker, and how the model can learn to explain selectively. In the second part, I discuss how human intuition measured outside of the working with an AI context can be incorporated into models and explanations. I'll conclude with a brief discussion on formulating the model's pragmatic inference about its human teammate.
Biography: Shi Feng is a postdoc at University of Chicago working with Chenhao Tan. He got his PhD from University of Maryland under Jordan Boyd-Graber. He is interested in human-AI cooperation: how machine learning can help humans make better decisions, and how humans can provide supervision more effectively. His past work focuses on natural language processing, and covers topics including interpretability, adversarial attacks, robustness, and human-in-the-loop evaluations.
Host: Jon May and Meryem Mhamdi
More Info: https://nlg.isi.edu/nl-seminar/
Webcast: https://www.youtube.com/watch?v=C8jUO4w5xwULocation: Information Science Institute (ISI) - Virtual and ISI-Conf Rm#689
WebCast Link: https://www.youtube.com/watch?v=C8jUO4w5xwU
Audiences: Everyone Is Invited
Contact: Pete Zamar
Event Link: https://nlg.isi.edu/nl-seminar/
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DEN@Viterbi - 'Limited Status: How to Get Started' Virtual Info Session
Thu, Nov 17, 2022 @ 05:00 PM - 06:00 PM
DEN@Viterbi, Viterbi School of Engineering Graduate Admission
Workshops & Infosessions
Join USC Viterbi for our upcoming Limited Status: How to Get Started Virtual Information Session via WebEx to learn about the Limited Status enrollment option. The Limited Status enrollment option allows individuals with an undergraduate degree in engineering or related field, with a 3.0 GPA or above to take courses before applying for formal admission into a Viterbi graduate degree program.
USC Viterbi representatives will provide a step-by-step guide for how to get started as a Limited Status student and enroll in courses online via DEN@Viterbi as early as the Spring 2023 semester.
Register Now!WebCast Link: https://uscviterbi.webex.com/uscviterbi/onstage/g.php?MTID=e5de607b5583e1aab441954360e7719de
Audiences: Everyone Is Invited
Contact: Corporate & Professional Programs
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Viterbi Career Connections Workshop
Thu, Nov 17, 2022 @ 05:00 PM - 06:00 PM
USC Viterbi School of Engineering
Workshops & Infosessions
Join us for a workshop to learn about the Viterbi Career Connections office resources, resume, networking, and job/internship search.
Location: Sign into EngageSC to View Location
Audiences:
Contact: Noe Mora
Event Link: https://engage.usc.edu/viterbi/rsvp?id=387578
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WIE x Viterbi Impact: Resume/Career Skills Workshop
Thu, Nov 17, 2022 @ 05:00 PM - 06:00 PM
Viterbi School of Engineering Student Affairs
Workshops & Infosessions
Join WIE and the Viterbi Career Center at their resume and career skills workshop where they will give students the skills necessary to conduct themselves at a professional setting. Food will be provided!!!
Location: Sign into EngageSC to View Location
Audiences:
Contact: Maia Calderon-Ramos
Event Link: https://engage.usc.edu/WIE/rsvp?id=387687
