Developed Parsing Logic for Filings

Overview

Development stage

DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.

High-impact designation

Not high-impactSource: c) Not high-impact

Impact justification

Not reported

Start date

2024-07 (month precision)Source: 07/2024

Withheld from public reporting

NoSource: a) No

Mission

Topic area

Other

Operational functions

No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

Help staff more efficiently search and analyze disclosure text contained in various filings.

Expected benefits

Help staff more efficiently search and analyze disclosure text contained in various filings.

System outputs

These efforts will help to search and analyze certain filings.

Technology

AI classification

Reinforcement learningSource: Reinforcement Learning: AI trained through trial and error using rewards and penalties to optimize decision-making policies.

System name(s)

AI Filing Parser

Custom-developed code

Yes

Public source code

Not reported

Sourcing

How it was built

Developed in-houseSource: b) Developed in-house

Vendor (as reported)

Not reported

Vendors (standardized)

None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII

No

Privacy Impact Assessment

Not reported

Authorization to Operate

Yes

Demographic features

k) None of the above

Training and evaluation data

10K and ADV Filings

Federal Data Catalog

Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Potential impacts and how they were identified

Not reported