Assistant Professor at Clemson University

Human-centered AI built for collaboration, teams, and organizations.

I study how people actually work with AI in consequential settings, with a focus on human-AI collaboration, human-AI teaming, trust, training, and performance.

My goal is to design AI that supports human expertise rather than flattening it, and to understand what makes mixed human-AI teams resilient, legible, and effective.

BIG CAT Research Group Curriculum Vitae Consulting at C Fjord
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Christopher Flathmann

I lead the BIG CAT Research Group, where we examine how human-AI teams become more trustworthy, more coordinated, and more effective in practice.

Research Focus

I work across three tightly connected areas, all centered on making AI workable inside human systems rather than apart from them.

Human-centered AI

Designing AI around human judgment, human needs, and human values instead of treating people as the cleanup layer for automation.

Human-AI collaboration

Understanding how communication, coordination, and shared work change when intelligent systems become part of everyday practice.

Human-AI teaming

Studying what helps mixed teams become effective in high-stakes environments, including trust, training, autonomy, and resilience.

Approach

My work combines HCI, CSCW, and human factors to generate research that is grounded in theory and useful in practice.

  • Start with people. I begin with human goals, constraints, and decision-making before deciding what role AI should take.
  • Study teams, not just tools. AI changes roles, coordination, and responsibility across groups, not only at the interface level.
  • Design for real use. I care about how systems are adopted, trained, trusted, and evaluated where the stakes are real.