I study how human judgment shows up in AI-enabled decision systems - how it enters during design, how it shapes use, and how it affects interpretation. I don’t treat AI as an autonomous decision-maker, but as a socio-technical system shaped by people and organizations. I’m interested in how organizational assumptions and human choices influence what these systems do in practice. My work sits in information systems, with close ties to analytics and organizational decision-making, and is informed by sustained experience working with real decision systems in organizational settings.
Human judgment and cognitive bias in AI-enabled decision systems
How people interpret and rely on algorithmic decision support
Organizational responsibility and governance of AI
In my teaching, I focus on helping students develop sound judgment about complex technical systems. I aim for clarity without intimidation and high standards without gatekeeping, and I try to connect technical material to real organizational decisions students will encounter in practice. I use generative AI selectively in my courses - not to replace thinking, but to support learning while keeping responsibility and judgment with the student.