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 Researchers Release Zeno for Machine Learning Model Evaluation
NEWSA team of Carnegie Mellon University researchers has released a new interactive platform for data management and machine learning (ML) eva...
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HCII Researchers Awarded $2M Grant To Test AI-Based Mobile Tutoring Software
NEWSHomework can be extra difficult for middle school students facing limited access to technology, lack of parental support or other factors ...
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AI-Powered Museum Exhibit Shows Technology's Potential in Education
NEWSA project from the School of Computer Science's Human-Computer Interaction Institute that uses artificial intelligence to assist children ...
Studying and designing for human-AI collaborative work in real-world contexts
PROJECTAcross a range of real-world contexts, we are studying how AI is currently being designed and used to augment or transform worker practices. Moving beyond...
Empowering and Enhancing Workers Through Building A Community-Centered Gig Economy
PROJECTThe gig economy is characterized by short-term contract work performed by independent workers who are paid in return for the "gigs" they perform. Example ...
Advancing Fairness in AI with Human-Algorithm Collaborations
PROJECTArtificial intelligence (AI) systems are increasingly used to assist humans in making high-stakes decisions, such as online information curation, resume s...
Incorporating and Balancing Stakeholder Values in Algorithm Design
PROJECTThis project will create a general method for value-sensitive algorithm design and develop tools and techniques to help incorporate the tacit values of st...
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New Research Offers Recommendations for Integrating Autonomous Driving Tech Into Public Transportation
NEWSAutonomous vehicle technology likely won't replace the workers behind the wheels of buses, vans and other vehicles shuttling people around...
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Adding AI to Museum Exhibits Increases Learning, Keeps Kids Engaged Longer
NEWSHands-on exhibits are staples of science and children's museums around the world, and kids love them. The exhibits invite children to expl...
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CMU Launches Responsible AI Initiative To Direct Technology Toward Social Responsibility
NEWSArtificial intelligence has the potential to improve our daily lives, whether it's by helping doctors better diagnose and treat disease, r...
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School of Computer Science Part of Four New NSF AI Institutes
NEWSCMU Contributing to Innovations in Caregiving, Agriculture, Wireless Networks Carnegie Mellon University’s School of Computer Science wil...