Applied Machine Learning

There are numerous complex tasks in everyday life, from cooking to medical self-care, that involve a series of atomic steps. Properly executing these step...

In the art of video editing, sound is really half the story. Through formative interviews with professional editors (N=10), we found that the manual task ...

Recent advancements in AI foundation models have made it possible for them to be utilized off-the-shelf for creative tasks, including ideating design conc...

AI tools are increasingly deployed in community contexts. However, datasets used to evaluate AI are typically created by developers and annotators outside...

Online mental health support communities have grown in recent years for providing accessible mental and emotional health support through volunteer counsel...

Community rules play a key part in enabling or constraining the behaviors of members in online communities. However, little is unknown regarding whether a...

Media coverage has historically played an influential and often stigmatizing role in the public’s understanding of mental illness through harmful language...

In the Enhance Project, learning scientists collaborate with education agencies to improve how states assess their students. Drawing upon the fields of le...

As 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 ...

A team of Carnegie Mellon University researchers has released a new interactive platform for data management and machine learning (ML) evaluation called Zeno....

Research led by Carnegie Mellon University has developed a model that can accurately predict how stay-at-home orders like those put in place during the COVID-19 pandemic affect the mental ...

Across 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...