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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 and Motahhare Eslami. 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 tools and processes to better support AI practitioners and researchers in building more responsible AI on the ground. My current research focuses on (a) engaging end users in effectively providing feedback to improve the development and evaluation of AI systems, and (b) supporting AI researchers and practitioners in assessing the real-world downstream impact of their AI design and development.
Wesley Hanwen Deng, Michelle S. Lam, Alex Cabrera, Danaë Metaxa, Motahhare Eslami*, Ken Holstein*.
Supporting User Engagement in Testing, Auditing, and Contesting AI.
CSCW'23 Workshop Organized [Website]
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 DeVrio, 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, Motahhare Eslami*, Ken Holstein*.
Towards" Anytime, Anywhere" Community Learning and Engagement around the Design of Public Sector AI
CHI'23 AI Literacy Workshop [Workshop]
Wesley Hanwen Deng, Manish Nagireddy, Michelle Seng Ah Lee, Jatinder Singh, Steven Wu, Ken 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]
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]
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]
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