Human-Centered AI
Artificial Intelligence (AI) brings amazing capabilities and challenging risks. Human-centered AI (HAI) works to maximize AI’s benefits and minimize its harms by attending to AI capabilities and their impact on users, service providers, impacted stakeholders, and society at large. This area of research:
- Improves AI innovation processes to reduce project failure and bad outcomes
- Creates new methods for people to interact with computing systems
- Advances AI Literacy
- Informs policy and the regulation of AI systems
- Improves how innovators can team with AI to co-innovate
Machine Learning (ML) is a subset of artificial intelligence (AI) that involves training algorithms to learn from and make predictions or decisions based on data. Applied ML in the context of HAI focuses on designing AI systems with human needs, behaviors, and social contexts in mind.
Students who want to learn more about HAI might be interested in the following HCII courses:
- 05-317/05-617: Design of AI Products and Services
- 05-318/05-618: Human-AI Interaction
- 05-380/05-685: Prototyping Algorithmic Experiences (PAX)
- 05-499/05-899: Special Topics: Augmenting Intelligence
- 05-499/05-899: Special Topics: Fairness, Accountability, Transparency, & Ethics (FATE) in Sociotechnical Systems
Faculty Researchers
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CMU Technologists Look to a More Inclusive Future
NEWSAs artificial intelligence becomes more sophisticated and capable of closely depicting reality, researchers at the HCII are working to ens...
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People With Autism Turn to ChatGPT for Advice on Workplace Issues
NEWSA new Carnegie Mellon University study shows that many people with autism embrace ChatGPT and similar artificial intelligence tools for he...
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CMU at CHI 2024
NEWSResearchers from the Human-Computer Interaction Institute (HCII) and several other Carnegie Mellon University schools and disciplines cont...
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CMU Faculty and Staff Present at PASA Lunch and Learn
NEWSOn Tuesday, March 5, Ken Koedinger, Erin Gatz, and Nesra Yannier shared the exciting work they’ve been doing in the field of Artificial In...
Jigsaw: Supporting Designers to Prototype Multimodal Applications by Assembling AI Foundation Models
PROJECTRecent advancements in AI foundation models have made it possible for them to be utilized off-the-shelf for creative tasks, including ideating design conc...
Wikibench
PROJECTAI tools are increasingly deployed in community contexts. However, datasets used to evaluate AI are typically created by developers and annotators outside...
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Five Named Microsoft Research AI & Society Fellows
NEWSFive researchers from the Human-Computer Interaction Institute – Hong Shen,
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Yildirim Selected as AI Rising Star
NEWSHCI Institute doctoral candidate Nur Yildirim was invited to present a lightning talk at the 2023 AI Symposium at the University of Michig...
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Less Is More: 'Stingy' Bots That Hoard Resources Can Still Boost Human Relationships
NEWSA recent study from Carnegie Mellon University and Cornell University researchers unveiled how artificial intelligence impacts human welfa...
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HCII Researchers Receive $3M NSF Grant to Expand AI-Powered Intelligent Science Stations in Schools
NEWSA team of researchers from the Human-Computer Interaction Institute (HCII) in Carnegie Mellon University's School of Computer Science rece...
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Forlizzi Briefs Senators on AI in the Workforce
NEWSCarnegie Mellon University School of Computer Science Professor Jodi Forlizzi on Tuesday shared four recommendations with U.S. senators to...
Eye into AI
PROJECTRecent developments in explainable AI (XAI) aim to improve the transparency of black-box models. However, empir...