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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: 

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    VideoMap

    PROJECT

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    Accessing Recipe Information Without Looking

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    NEWS

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    Future AR/VR Controllers Could Be the Palm of Your Hand

    NEWS

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    PrISM: Procedural Interaction from Sensing Module

    PROJECT

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  • the paper certificate the team received for their HCOMP 2024 Best Paper award

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    HCII Highlights in The Link

    NEWS

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    NEWS

    Nine School of Computer Science faculty members recently received Google Academic Research Awards, which aim to fund and actively collabor...

  • side by side headshots of Ken Holstein and Hoda Heidari, HCII faculty who are co-PIs on this grant

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    NEWS

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  • Mayank Goel speaks at WEF

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    NEWS

    Mayank Goel, an associate professor in the Software and Societal Systems Department and Human-Computer Interaction Institute, recently att...

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    SCS Researchers Partner with Mass Transit Operators for Better Technology

    NEWS

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    CMU Technologists Look to a More Inclusive Future

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