RCRA PA

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

High-impactSource: a) High-impact

Impact justification

Not reported

Start date

2022-10-01 (day precision)Source: 10/01/2022 00:00:00

Withheld from public reporting

NoSource: a) No

Mission

Topic area

Law Enforcement

Operational functions

Risk scoring and triage Derived by keyword rules; see methodology

Problem the AI is intended to solve

Risk scoring of Large Quantity Generators (LQGs) to support RCRA inspections

Expected benefits

Reducing staff time and better identification of potential violators

System outputs

Risk scoring (integers 0 to 4, inclusive) for LQGs

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)

Environmental Compliance and History Online

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)

University of Chicago Energy and Environment Lab

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

The model was trained on historical compliance data.

Federal Data Catalog

Not reported

Governance

8 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