Natural Language Processing (NLP) for Foreign Assistance Appropriations Analysis
Description
Summarizing the key points of a lengthy report using AI.
Detailed example
Consolidated congressional directives from the annual appropriations bill to be included in the report detailing the allocation of U.S. foreign assistance funds to foreign countries and international organizations (i.e. the 653(a) report).
AI / analytics pattern
Natural Language Processing: AI that processes, interprets, and shares information in human language.
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 NLP application reduces the time needed to extract congressional directives from the annual appropriations bill which ultimately shortens the cycle time for generating the report detailing the annual allocation of U.S. foreign assistance funds to foreign countries and international organizations (i.e. the 653(a) report).
Controls / human review
ATO: Yes; PIA: Not published
Data needed
Annual appropriations bills