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Methodological AWESOME: AI-Driven Assessment of Vulnerabilities 

Methodological AWESOME: AI-Driven Assessment of Vulnerabilities 

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?

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