Faculty AI Projects

To what extent do brain dynamics during music listening support contextual representations that serve continuous prediction? Deep neural networks offer a tool for neuroscience to investigate how representations emerge.

While models depend on large-scale training datasets, there is currently little to no scholarly framework for documenting where those datasets come from, how they are assembled, and how they circulate/degrade over time.

Serious illness conversations—discussions about values and care preferences—can align medical care with what matters most to patients, yet they rarely happen in Emergency Departments.

Language has a peculiar power to make machines feel social—a phenomenon Weizenbaum observed long before today's LLMs. As conversational agents have become more fluent, that reflex has strengthened.

Memory Box explores how older adults envision and value reminiscence therapy mediated by voice-based large language models.

Investigating how working with AI can enhance administrative workflows for professional and academic work.

Generative LLMs like GPT and Claude are increasingly being used as content analytical tools, but how effective are they for frame analysis?

This project examines how Mobile AI—artificial intelligence embedded in mobile devices and urban infrastructures—shapes everyday life, communication, and mobility in low-income urban communities across globally diverse c

What if we could take a raw dataset and harness AI to generate a portrait of the data? The Visual Metaphor Machine project is an initiative that aims to redefine the boundaries of data exploration and visualization.

Have you ever wondered how facial recognition technology succeeds so well at identifying suspects in criminal cases? The answer: It doesn’t.