Sri Narayanan
Sri Narayanan is a [[UniversityOfSouthernCalifornia|USC]] professor featured in Centering humans in AI education might be key to innovation and research for human-centered AI research at the Signal Analysis and Interpretation Lab. The episode uses his real-time MRI and machine-learning work on beatboxing to make Behavioral Signal Processing concrete: AI can map tongue, lip, airway, and trachea movement to study how vocalization works.
Narayanan’s larger role in the source is to keep AI research anchored in human signals and human consequences. His lab’s work extends beyond vocal performance into neurodevelopment, autism-related research, and early biomarkers for depression, while his caution centers on privacy, bias, and agency when systems can infer sensitive identity-linked traits.
Connections
- Signal Analysis and Interpretation Lab - USC lab associated with his behavioral AI research.
- Behavioral Signal Processing - core research frame in the source.
- Human-Centered AI Education - broader USC AI education frame he helps ground.
- AI Health Management and Teen Chatbot Mental Health Risk - mental-health AI branch and safety boundary.
- Domain Expert Alignment, Human Judgment Under AI, and Human Agency Under AI - interdisciplinary and responsibility frames tied to his cautions.