Bias in AI Travel Narratives
↗An end-to-end study of cultural and representational bias in LLM-generated travel narratives, comparing human annotations with automated safety evaluations.
HELLO, I’M BHASKAR AKKENA
Building reliable systems and evaluating how language models behave.
An end-to-end study of cultural and representational bias in LLM-generated travel narratives, comparing human annotations with automated safety evaluations.
An evolutionary search framework that iteratively refines LLM responses, combining toxicity evaluators with context-aware semantic scoring.
An RIT capstone with GCCIS automating tutor hour tracking, scheduling, and session management through backend APIs and an existing SQL database.