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Welcome! I am Wesley Deng. I am a second-year Ph.D. student at the Human-Computer Interaction Institute (HCII) at Carnegie Mellon University, School of Computer Science. I am co-advised by Ken Holstein (CoALA Lab) and Motahhare Eslami (4A Lab). I also have the fortune to work closely with Haiyi Zhu. Before CMU, I studied Computer Science at UC Berkeley, where I conducted research in Human-AI Interaction and Design with Niloufar Salehi and Kimiko Ryokai.
My current research interests are Human-AI Interaction, Algorithmic Fairness, Accountability & Transparency, and Social Computing. I study and build frameworks and systems to better support AI practitioners and researchers in building more responsible AI systems. My current research focuses on (a) developing processes and tools to empower everyday users to test and audit AI products and services;
(b) facilitating cross-disciplinary Responsible AI collaboration in real-world organizational contexts, with a focus on industry AI practices.
Ongoing: [Interfaces to scaffold more effective user-engaged AI testing and auditing on generative AI]
Wesley Hanwen Deng, Howard Han, Yvonne Fang, Jason I. Hong, Ken Holstein, Motahhare Eslami.
Ongoing: [Internal project at Microsoft Research FATE group around Responsible AI]
Wesley Hanwen Deng, Forough Poursabzi-Sangdeh, Solon Barocas, Jennifer Wortman Vaughan.
Ongoing: [Scaffolding Responsible AI Practice at problem formulation stage /w PwC data science teams]
Nadia Nahar, Wesley Hanwen Deng, Motahhare Eslami, Ken Holstein, Christian Kaestner.
Ongoing: [Critically examining the notion of "marginalization" in HCI and CSCW]
Jordan Taylor, Wesley Hanwen Deng, Ken Holstein, Sarah Fox, Haiyi Zhu.
Wesley Hanwen Deng, Nur Yildirim, Monica Chang, Motahhare Eslami, Ken Holstein, Michael Madaio. Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practice. FAccT '23 [Full Paper]
Wesley Hanwen Deng, Bill Guo, Alicia Devos, Hong Shen, Motahhare Eslami, Ken Holstein.
Understanding Practices, Challenges, and Opportunities for User-engaged Algorithm Auditing in Industry Practice. CHI'23 [Full Paper]
Wesley Hanwen Deng, Manish Nagireddy, Michelle Seng Ah Lee, Jatinder Singh, Zhiwei Steven Wu, Kenneth Holstein, Haiyi Zhu. Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits.
FAccT '22 [Full Paper]
Hong Shen, Leijie Wang, Wesley Hanwen Deng, Ciell, Ronald Velgersdijk, Haiyi Zhu.
The Model Card Authoring Toolkit: Towards Community-centered, Deliberation-driven AI Design.
FAccT '22 [Full paper]
Wesley Hanwen Deng, Nikita Mehandru, Samantha Roberston, Niloufar Salehi. Beyond General Purpose Machine Translation: The Need for Context-specific Empirical Research to Design for Appropriate User Trust
CHI '22 TRAIT Workshop [Short Presentation]
Dan Liebling, Katherine Heller, Samantha Roberston, Wesley Hanwen Deng.
Opportunities for Human-centered Evaluation of Machine Translation Systems
NAACL '22 [Full Paper]
Samantha Roberston, Wesley Hanwen Deng, Timnit Gebru, Margaret Mitchell, Dan Liebling,Michal Lahav, Katherine Heller, Mark Diaz, Samy Bengio, Niloufar Salehi.
Three Directions for the Design of Human-Centered Machine Translation
EACL '21 HCI + NLP [Workshop]
Wesley Hanwen Deng, Manish Nagireddy, Zhiwei Steven Wu, Kenneth Holstein, Haiyi Zhu
Evaluating Fairness in Practice: Exploring How Machine Learning Practitioners Use Fairness Toolkits
NeurIPS '21 Human-Centered AI [Workshop]
Jon Gillick, Wesley Hanwen Deng, Kimiko Ryokai, David Bamman.
Robust Laughter Detection in Noisy Environments
Interspeech '21 [Full Paper]
Hong Shen, Wesley Hanwen Deng, Aditi Chattopadhyay, Zhiwei Steven Wu, Xu Wang, Haiyi Zhu.
Value Cards: An Educational Toolkits for Teaching Social Impacts of Machine Learning through Deliberation
FAccT '21 [Full Paper] ,CHI '21 [Workshop]
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