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Welcome! I am Wesley Hanwen Deng. I am a third-year Ph.D. student at the Human-Computer Interaction Institute (HCII) at Carnegie Mellon University. At CMU, I am extremely fortunate to be advised by Ken Holstein and Motahhare Eslami, and work closely with Jason Hong and Hoda Heidari. I also work closely with Jenn Wortman Vaughan and Solon Barocas from Microsoft Research on a set of exciting projects on AI impact assessment and regulation. Before coming to CMU, I graduated with the Highest Distinction and am EECS Research Honor in Computer Science from UC Berkeley, where I conducted Human-centered AI research with Niloufar Salehi.
My research interests are Responsible AI (RAI), Algorithmic Fairness, Accountability & Transparency (FAccT), AI regulation & policy, and Social computing. In particular,
I develop tools, processes, and policies to better support AI practitioners and researchers in building more responsible AI on the ground. You can learn more about my recent work on my Google Scholar page and my CV.
Wesley Hanwen Deng, Jason I. Hong, Ken Holstein, Motahhare Eslami
On Developing End-user Audit Platform for Generative AI. In progress
Wesley Hanwen Deng, Ken Holstein, Motahhare Eslami, Jason I. Hong, Andrew Selbst, Hanna Wallach, Jennifer Wortman Vaughan, Solon Barocas
On Regulating AI in Light of the Challenges of Doing Responsible AI in Practice. In progress
[Microsoft Research AI&Society Fellow]
Wesley Hanwen Deng, Solon Barocas, Jennifer Wortman Vaughan
On Societal Impact Assessment of Industry Computing Research. In Submission
Wesley Hanwen Deng*, Michael A. Feffer*, Anusha Sinha*, Hoda Heidari
On Guidelines of Generative AI Red-teaming. In progress [Executive Summary] [CMU Workshop]
Nadia Nahar, Wesley Hanwen Deng, Motahhare Eslami, Ken Holstein, Christian Kästner
On Developing Interactive Responsible AI Toolkits. In progress
Jess Smith, Wesley Hanwen Deng, Lucy Li, Ken Holstein, Motahhare Eslami,
Maarten Sap, David Widder, Robin Burke, Casey Fiesler, Nicole DeCario, Jesse Dodge
On Developing AI Ethics Playbook. In progress
Jordan Taylor, Wesley Hanwen Deng, Ken Holstein, Sarah Fox, Haiyi Zhu.
Unmaking Marginality. Under Revision
Sara Kingsley*, Jiayin Zhi*, Wesley Hanwen Deng, Jaimie Lee, Sizhe Zhang, Motahhare Eslami*, Ken Holstein*, Joson I. Hong*, Tianshi Li*, Hong Shen*.
Investigating What Factors Influence Users’ Detection of Harmful Algorithmic Bias and Discrimination.
Under Revision
Wesley Hanwen Deng, Hong Shen, Adam Perer, Motahhare Eslami, Ken Holstein, Jason I. Hong
Organizing Crowd Audits to Detect Bias in Machine Learning.
National Science Foundation Fairness in AI Workshop [Poster]
Ziang Xiao, Wesley Hanwen Deng, Michelle S. Lam, Motahhare Eslami, Juho Kim, Mina Lee, Vera Liao
HEAL: Human-centered Evaluation and Auditing of Language Models
CHI'24 Workshop Organized [Website]
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, Shivani Kapania, Ken Holstein*, Motahhare Eslami*. User Engagement in Algorithm Testing
and Auditing:Exploring Opportunities and Tensions between Practitioners and End Users
FAccT'23 CRAFT Session Organized [Website]
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 Paper]
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 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 Paper]
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 Paper]
Jon Gillick, Wesley Hanwen Deng, Kimiko Ryokai, David Bamman.
Robust Laughter Detection in Noisy Environments
Interspeech '21 [Full Paper]
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