Qualitative Text Classification for Analysis
Description
The AI tool, leveraging internal large language models, is intended to increase the operational efficiency of qualitative research within Small Business / Self-Employed (SB/SE) Research, increase research scope, complexity, and decrease overall time to customer.
Detailed example
The AI system's output combines with the non-AI derived manual analysis, extrapolating based on manually derived analysis and using unsupervised and supervised methodologies to correlate data into classes. Essentially, we are taking unstructured data and using various inputs, we are leveraging the AI to classify and structure the data to assist in mass text analysis.
AI / analytics pattern
Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
Leveraging the generative AI applications within the large language model will allow analysts to benefit from an automated secondary analysis, improving overall reliability of analytical deductions and validating manually derived analytical outputs.
Audit / financial statement impact
The output is not presumed to be high-impact and is not used as the principal basis for significant decisions/actions
Controls / human review
ATO: Not reported; PIA: Not published