Objectives: Develop a qualitative AI-driven framework to assess vulnerabilities through narratives, interviews, and feedback that complements the human-coded qualitative methods.
Research Questions:
- What are the vulnerability markers (information elements) of the data that could inform the vulnerabilities more accurately?
- Are emerging language technologies like LLMs capable of identifying vulnerabilities in human perception?
- Which tools/models would best perform to handle automated translations and transcriptions of the multilingual data?
