Vocational Assessment Assistant Tool (VAAT)
Description
The AI is intended to address the problem of a manual, time-consuming, and expertise-dependent process for researching job codes and analyzing transferable skills, which can result in inconsistent outcomes among different examiners and offices.
Detailed example
The AI system produces recommendations for key evaluation steps and provides structured explanations to support vocational decisions.
AI / analytics pattern
Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
The expected benefits of the AI include streamlining and speeding up vocational analysis, increasing consistency and standardization in decision-making, improving the quality and reliability of determinations, and allowing staff to dedicate more time to complex case analysis rather than routine manual tasks. These outcomes support the agency’s mission and benefit the general public by promoting more efficient and equitable service delivery.
Controls / human review
ATO: Yes; PIA: not publicly available
Data needed
The AI system uses commercially available foundation models that were pre-trained on publicly available data. For its specific use case, the system incorporates publicly sourced occupational databases and agency policy documents to support job matching and ensure alignment with relevant guidelines. No custom training or fine-tuning was performed by the agency.