Fairness, Accountability, Transparency, and Ethics (FATE)
CMU Technologists Look to a More Inclusive Future
NEWSThe HCII's William Agnew and Jordan Taylor are just two of the CMU researchers working to ensure that the outputs of large language models represent the communities they reference.As artif...
CMU at FAccT 2024
NEWSResearchers from the Human-Computer Interaction Institute (HCII) and several other Carnegie Mellon University schools and disciplines contributed to more than 10 papers accepted to the 202...
Wikibench
PROJECTAI tools are increasingly deployed in community contexts. However, datasets used to evaluate AI are typically created by developers and annotators outside...
AI Should Be Kind and Fair, Young Black Girls Tell CMU Researchers
NEWSWhen asked about future uses for artificial intelligence, a group of fifth- and sixth-grade Black students attending a summer camp at Carnegie Mellon University had some unique ideas. One ...
CMU Researchers Use Comics To Explain AI-Supported Public Housing System to People Who Need It Most
NEWSAs artificial intelligence becomes more accessible and prevalent in everyday life, the humans who use it should still be central to its implementation, even if they don't have a technical ...
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...
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...