Terrence Neumann
PhD Student at the University of Texas at Austin.

Welcome!
I’m a fourth-year PhD student at the University of Texas at Austin, where I study Responsible and Ethical AI under the guidance of Maria De-Arteaga.
I am both fascinated by and skeptical of advances in AI. On one hand, I’m captivated by AI’s transformative potential to reshape society and drive incredible efficiencies. On the other, I approach its rapid advancements with a critical eye, wary of the hype that often clouds meaningful discourse. This tension fuels my research, as I strive to disentangle fact from fiction and equip organizations to make informed, ethical decisions about AI adoption and development.
What I Work On
In my research, I focus on:
- Frameworks for Responsible AI: Designing practical theoretical frameworks to guide ethical and responsible development and use of AI technologies.
- Evaluating AI Behavior: Investigating behavior and performance, especially in areas where ground truth is ambiguous or indeterminate, requiring thoughtful methods and theoretical considerations beyond traditional empirical approaches.
- Mitigating AI Risks: Identifying and addressing problematic behaviors in AI systems to improve their safety and reliability.
Collaborators
I’m fortunate to collaborate with and learn from great researchers like Sina Fazelpour, Matt Lease, and Maytal Saar-Tsechansky.