GenAI Mail Scan
The difficulties of interpreting handwritten and poorly formatted documents by staff leads to increased manual labor required to accurately read and enter data into all fields.
Azure ML
Ad-hoc Machine learning tasks are taking longer time to train and review results
DNC IVR Audio File Transcription
The DNC IVR (Do Not Call Interactive Voice Response) comments audio files are not being transcribed, requiring users to click the link and listen to understand the IVR complaint.
Counterparty Risk Anomaly Detection
Ginnie Mae is responsible for analyzing counterparty risk profiles of mortgage issuers who participate in Ginnie Mae’s program. Ginnie Mae analyzes data from multiple sources to i…
Automated Draft Narrative Reports Previously "Automating Draft Counterparty Credit Narrative Reports"; have since expanded to general enterprise use.
Ginnie Mae uses Natural Language Generation (NLG) to implement coded rules and generate draft narratives/memos. This application of AI enables processing efficiency and reduces er…
Generative AI Solutions for Workplace Productivity (aka Gemini)
The AI is intended to improve employee productivity by providing smarter tools for employees to summarize, draft, and navigate operational records.
A1 Museum AI Project
The AI is intended to solve the problem of limited document discoverability and intensive manual labor by using automated tagging to personalize the visitor experience and make mi…
NARA@WORK Kendra Search
The AI is intended to solve the problem of inefficient employee information discovery by replacing outdated keyword search with a natural language system that provides instant, co…
Amelia Earhart AI Search
The AI is intended to solve the manual search limitations when processing massive historical datasets by using Natural Language Processing to accurately locate and declassify spec…
AI Pilot Project to Screen and Flag for Personally Identifiable Information (PII) in Digitized Archival Records
The AI is intended to solve the problem of manual processing bottlenecks and privacy risks by automating the identification and redaction of sensitive personal information within…
AI based Semantic Search for National Archives Catalog (aka ArchiAI)
The AI is intended to solve the problem of "unsophisticated" keyword-based search limitations by implementing semantic search that understands user intent and historical context,…
Auto-fill of Descriptive Metadata for Archival Descriptions
The AI is intended to solve the problem of the "descriptive gap" created by labor-intensive manual cataloging by automatically generating metadata and summaries from document cont…
Topic Summarizer and Entity Extraction using AI
The AI is intended to solve the problem of unsearchable digital collections caused by massive descriptive backlogs, automating the creation of metadata for billions of digital obj…
Create an AI based knowledge articles user interface for working with CRG documents
The AI is intended to improve the case processing by providing staff with an automated retrieval tool that navigates the complex Case Reference Guide to deliver instant, accurate…
EOP 42 Search PoC using AI Based Semantic Search
The AI is intended to solve the problem of inefficient information retrieval within Presidential email archives by testing whether AI-driven semantic search can understand context…
Freedom of Information Act (FOIA) Discovery AI Pilot
The AI is intended to solve the problem of larger FOIA backlogs and manual review bottlenecks by automating the discovery of relevant records and the redaction of sensitive data,…
Archives.gov AI search
The AI is intended to solve the problem of "unstructured data challenges" in a vast, complex catalog by replacing traditional literal-match search with semantic technology that un…
Develop a Natural Language Based Chat Interface (like ChatGPT) to Interact With the Archival Documents
The AI is intended to solve the problem of high barriers to entry for historical research by replacing complex database queries with a natural language interface that allows users…
Automated Data Discovery and Classification Pilot
The AI is intended to solve the problem of inefficient manual data governance and risk assessment by testing automated data classification techniques to organize unstructured data…
Voice to text transcription
Speed and efficiency of screening vehicle voice recorders
Westlaw Edge
Addresses inefficiencies and inaccuracies in legal research.
Benefit and Earnings Public Use File
Generate high fidelity synthetic benefits and earnings data for external researches to support policy research and decision making while protecting privacy.
AI Input in Translation
Leveraging machine-based tools to streamline workflows in translation work. Machine output is carefully post-edited by professional human translators to ensure highest quality pro…
Automatic Detection of Authentic Material
The need to detect/identify authentic materials in target languages, reducing the time to develop language curricula and tests.