Investigating AI and practical human-centered AI workflows with attention to source quality, technical limitations, and accountability.
Professional focus
I use AI-assisted methods to support analysis, planning, coding, editorial structure, and quality checks while treating outputs as material that requires verification. The emphasis is on practical workflows and clear human oversight.
How I approach this work
- Specify the task, evidence boundaries, format, and acceptance tests before generation.
- Validate citations, code behavior, outputs, and policy-sensitive details against independent sources.
- Design review checkpoints and record where uncertainty or external approvals remain.
Work and practical context
My work includes AI-related educational writing, development assistance, language learning product experiments, and structured research publishing. These uses vary in reliability and need task-specific controls.
Value and professional perspective
AI tools are not substitutes for factual sources or professional responsibility. Good workflows identify what should be automated and what must be independently reviewed.