Michelle Brachman
Title
Staff Research Scientist, Human-Centered AI
Bio
Michelle is a researcher in the field of human-centered AI and typically publishes in venues like CHI, IUI, and CSCW. She is particularly interested in how people think about, understand, and learn about AI systems, as well as how to make AI systems more responsible and explainable. Her previous research focused on novice and end-user programming.
Michelle received her PhD in Computer Science from Washington University in St. Louis, advised by Caitlin Kelleher, and her BS in Computer Science from Tufts University. Michelle was an Assistant Professor of Computer Science at University of Massachusetts Lowell for two years before joining IBM.
Publications
A Case Study Investigating the Role of Generative AI in Quality Evaluations of Epics in Agile Software Development
- Werner Geyer
- Jessica He
- et al.
- 2025
- CHIWORK 2025
Building Appropriate Mental Models: What Users Know and Want to Know about an Agentic AI Chatbot
- 2025
- IUI 2025
ACE: Moving toward Co-Investigation with the Agentic Code Explorer
- Dario Andres Silva Moran
- Krissy Brimijoin
- et al.
- 2025
- IUI 2025
How Knowledge Workers Use and Want to Use LLMs in an Enterprise Context
- Michelle Brachman
- Amina El-Ashry
- et al.
- 2024
- CHI 2024
Reliance and Automation for Human-AI Collaborative Data Labeling Conflict Resolution
- Michelle Brachman
- Michael Desmond
- et al.
- 2022
- CSCW 2022
AI Assisted Data Labeling with Interactive Auto Label
- Michael Desmond
- Michelle Brachman
- et al.
- 2022
- AAAI 2022
Top collaborators
WG
Werner Geyer
Chief Scientist Human-Centered AI | Principal Research Scientist | ACM Distinguished Member
QP
Qian Pan
UX Designer
MM
Michael Muller
Human Centered AI; Generative AI; Social Justice
Hd
Heloisa Candello
Senior Research Scientist