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:
Faculty Researchers
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...
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 explore scientific concepts in fun and playful ways. ...
School of Computer Science Part of Four New NSF AI Institutes
NEWSCMU Contributing to Innovations in Caregiving, Agriculture, Wireless Networks...