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Hi there! I am a human-AI interaction (HAII) researcher and an Assistant Professor at USC Annenberg. I am also a core faculty member at USC Center for AI in Society. My research explores the impact of AI on individuals' work practices and their broader societal implications.

Previously, I was a Postdoctoral Associate at the Department of Information Science at Cornell University. I also received my PhD in Communication at Cornell with a Concentration in Human-Computer Interaction. Throughout my PhD journey, I was fortunate to work at Microsoft Research, Google Research, Sony AI, Adobe, Accenture Labs, and Cornell Center for Social Sciences through various internships, fellowships, and PhD scholar programs.

I am always on the lookout for thought-provoking collaborators to work with. If you find anything interesting on this page, let's get in touch :)




CV    |    Google Scholar    |     angel.hwang [at] usc [dot] edu




Research

By keywords, here are some of the subjects that best capture my interests:
#   Human-AI collaboration
#   Socio-technical impact of AI
#   Scalable methods for human-centered AI research
#   Digital mental health
#   Future of work & the online labor market
#   Computational social science


To provide more context, I aim to examine — and ideally project — AI’s societal impacts and potential harms before they loom large. The key challenge is that many of these harms only emerge when AI systems are deployed at scale. To address this, I take three complementary approaches:
  1. [individuals → AI] I analyze how individual decisions shape machine behaviors and project how these influences scale. e.g., how do individuals' data-sharing decisions create downstream effects on AI-infused digital health systems?
  2. [AI → individuals] I investigate how algorithmic systems influence individual decision-making and behaviors, assessing their broader cumulative effects. e.g., how do different forms of AI assistance on freelance platforms influence individual clients' decisions and shape new norms for recruitment processes in the online labor market?
  3. [methods that scale] To support these two efforts, I explore novel methods that enable investigating AI's impact at different scales. Currently, I pay much attention to simulation-based methods.

Latest News

Ongoing   I serve on the program committee for CHI, CSCW, WebSci, FAccT, DIS, and C&C. Please consider sending your work to these premier venues. I look forward to reading and getting inspired by your research!

07/2025   Our work examining large-scale data across two major freelance platforms demonstrates both harms and benefits when freelancers disclose their use of AI in the online marketplace. I will present this work at the Annual Meeting of Academy of Management (AOM).

05/2025   I will lead a session on (de)valuation of AI-assisted work in the online labor market in an upcoming workshop series on "What is work worth?" at Data & Society.

04/2025   Along with my amazing colleagues, we organize the Annual ShowCAIS at USC Center for AI in Society (happening April 11 on USC campus). I will speak at a session on AI and Mental Health and moderate a session on AI, local community, and policy.

03/2025   Our workshop on disclosure, ownership, and accountability of AI use got accepted at CHIWORK. Looking forward to meeting our workhsop participants either online or in person in Amsterdam in June 🇳🇱

03/2025   It was pleasure to speak at Annenberg Research Seminar and Annenberg Leadership Summit to share some of my ongoing work on projecting AI's sociotechnical harms at scales.

02/2025   It has been a fun journey working on the topic of "scale" with MASTS. Thank you all for the thoughtful feedback for my ongoing work.

Summer 2025   Qian Yang (Cornell IS), Tanzeem Choudhury (Cornell Tech), Fei Wang (Weill Cornell Medicine), and I co-organize the inaugural Thought Summit on AI in Mental Health. This week-long event brings together experts from computer science, HCI, clinical health, and health policy to jointly discuss the new frontier of digital mental health.

01/2025   Our panel on "Human Subjects Research in the Age of Generative AI" is accepted at CHI 2025. Along with an amazing group of computer and social scientists, we will jointly discuss (and debate!) opportunities and challenges of applying LLM-simulated data to HCI studies. We are actively developing an agenda for discussion at the panel. If you get thoughts or questions about this topic, please reach out!

01/2025   We did a live webinar at The Workforce Lab at Slack, Salesforce. In this ongoing project, Marlon Twyman (USC), Matt O'Donnell (UPenn), and I explore the impact of generative AI on hiring decisions for professional creators across the online labor market.

Selected Publications

2025 CSCW 2025

"It was 80% me, 20% AI": Seeking Authenticity in Co-Writing with Large-Language Models

Angel Hsing-Chi Hwang, Q. Vera Liao, Su Lin Blodgett, Alexandra Olteanu, Adam Trischler

[preprint] 

2024 CHI 2024

Societal-Scale Human-AI Interaction Design? How Hospitals and Companies are Integrating Pervasive Sensing into Mental Healthcare

Angel Hsing-Chi Hwang, Daniel A. Adler, Meir Friedenberg, Qian Yang

doi  |  pdf  |  video  

2024 CHI 2024

The Sound of Support: Gendered Voice Agent as Support to Minority Teammates in Gender-Imbalanced Team

Angel Hsing-Chi Hwang, Andrea Stevenson Won

Best Paper Honorable Mention

doi  |  pdf  |  video  

2024 DIS 2024

In Whose Voice?: Examining AI Agent Representation of People in Social Interaction through Generative Speech

Angel Hsing-Chi Hwang, Oliver Siy, Renee Shelby, Alison Lentz

doi  |  pdf  

2022 CHI EA 2022

Too Late to be Creative? AI-Empowered Tools in Creative Processes

Angel Hsing-Chi Hwang

doi  |  pdf  |  video  

2022 New Media & Society

In the eye of the beholder: A viewer-defined conception of online visual creativity

Laura Herman, Angel Hsing-Chi Hwang

pdf  |  doi  

2021 CHI 2021

IdeaBot: Investigating Social Facilitation in Human-Machine Team Creativity

Angel Hsing-Chi Hwang, Andrea Stevenson Won

Best Paper Honorable Mention

pdf  |  doi  |  video