SEC · SEC-20 · record R0018
Parsing of Plain Language Descriptions to Machine-Readable Notations
Securities and Exchange Commission · Division of Examinations (EXAMS)
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
- 2022-02 (month precision)Source: 02/2022
- 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
Automates conversion of plain-language text into machine-readable standardized notations. This permits ease of analysis
Expected benefits
Automates conversion of plain-language text into machine-readable standardized notations. This permits ease of analysis.
System outputs
The system outputs machine-readable notations.
Technology
- AI classification
- Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
- System name(s)
- NEAT
- Custom-developed code
- Yes
- Public source code
- Not reported
Sourcing
- How it was built
- Contract and in-houseSource: c) Developed with both contracting and in-house resources
- Vendor (as reported)
- Aretec Inc
- Vendors (standardized)
- Aretec
A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.
Data and privacy
- Involves PII
- Yes
- Privacy Impact Assessment
- www.sec.gov ↗
- Authorization to Operate
- Yes
- Demographic features
- k) None of the above
- Training and evaluation data
- Registrant Trade Data
- 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.
Pre-deployment testingNo answer reported
AI impact assessmentNo answer reported
Independent reviewNo answer reported
Ongoing monitoringNo answer reported
Operator trainingNo answer reported
Fail-safeNo answer reported
Appeal processNo answer reported
User and public consultationNo answer reported
Potential impacts and how they were identified
Not reported