SEC · SEC-54 · record R0047

Enhancing Analysis of SEC Web Engagement Trends Using AI

Securities and Exchange Commission · Office of Information Technology (OIT), Office of the Chief Data Officer (OCDO), Office of the Advocate for Small Business Capital Formation (OASB)

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Overview

Development stage: In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: Not reported
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Service Delivery
Operational functions: Summarization Derived by keyword rules; see methodology

Problem the AI is intended to solve

Manual analysis of Google Analytics data is time-consuming and limits the ability to identify trends across multiple SEC.gov pages.

Expected benefits

Faster, more accurate insights into how the public engages with SEC content, enabling more effective outreach and communication strategies.

System outputs

Dashboards or reports summarizing traffic sources, engagement trends, and content performance.

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): Not reported
Custom-developed code: Not reported
Public source code: Not reported

Sourcing

How it was built: Not reported
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: Not reported
Privacy Impact Assessment: Not reported
Authorization to Operate: Not reported
Demographic features: Not reported
Training and evaluation data: Not reported
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