Human-Centered AI
AI systems are proliferating in everyday life, and it’s imperative to understand those systems from a human perspective. We design and investigate new forms of human-AI interactions and experiences that enhance and extend human capabilities for the good of our products, clients, and society at large.
Overview
Artificial intelligence is having a profound impact on all aspects of our lives. AI systems are being created that can drive our vehicles, design our drugs, determine what information we see, and even decide how our money is invested. Some of these systems operate entirely autonomously, while others only make recommendations or suggestions.
Despite increasing levels of automation enabled by AI, the common thread to all of these systems is the human element: people are critical in the design, operation, and use of AI systems. We have a responsibility to ensure those systems operate transparently, act equitably, respect our privacy, and effectively serve people's needs.
How can we ensure that AI systems are designed responsibly and produce effective outcomes? We address this question by pursuing research projects across human-AI collaboration, responsible and human-compatible AI, as well as natural language and visual interaction systems.
Our work
- ResearchKim Martineau
Goal-oriented flow assist: supporting low code data flow automation with natural language
Technical noteKartik Talamadupula and Michelle BrachmanWhat is human-centered AI?
ExplainerWerner Geyer, Justin Weisz, Claudio Santos Pinhanez, and Elizabeth Daly6 minute readIBM’s Uncertainty Quantification 360 toolkit boosts trust in AI
ReleasePrasanna Sattigeri and Vera Liao7 minute readNew smartphone app to navigate blind people to stand in lines with distances
ResearchHironobu Takagi, Chieko Asakawa, Masaki Kuribayashi, and Seita Kayukawa3 minute readPushing the boundaries of human-AI interaction at IUI 2021
News9 minute read- See more of our work on Human-Centered AI
Projects
We're developing technological solutions to assist subject matter experts with their scientific workflows by enabling the Human-AI co-creation process.
Publications
"Better Ask for Forgiveness than Permission": Practices and Policies of AI Disclosure in Freelance Work
- Angel Hsing-chi Hwang
- Senya Wong
- et al.
- 2026
- CHI 2026
Conference paperTools for Thought: Understanding, Protecting, and Augmenting Human Cognition with Generative AI - From Vision to Implementation
- Zelun Tony Zhang
- Nick Von Felten
- et al.
- 2026
- CHI 2026
WorkshopAgentFixer: From Failure Detection to Fix Recommendations in Agentic Systems
- Hadar Mulian
- Sergey Zeltyn
- et al.
- 2026
- ICSE 2026
Workshop paperTRUST-CUA: Trustworthy Computer-Using Generalist Agents for Intelligent User Interfaces
- Segev Shlomov
- Toby Jia-jun Li
- et al.
- 2026
- IUI 2026
WorkshopDesigning Agentic AI Systems for Human-Guided Scientific Discovery in Computational Drug Discovery
- Bc Kwon
- Leili Zhang
- et al.
- 2026
- ACS Spring 2026
PosterNOVAID: Natural-language Observability Visualization Assistant for ITOps Dashboard Widget Generation
- Pratik Mishra
- Caner Gözübüyük
- et al.
- 2026
- IAAI 2026
Conference paper