Certified Professional Controller (CPC) On-Board Success Evaluator

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

2023-02-10 (day precision)Source: 02/10/2023 12:00:00 AM

Withheld from public reporting

NoSource: a) No

Mission

Topic area

Transportation

Operational functions

No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

CPC Outlook Generator (COG) is a front end Graphical User Interface built to interact with a data model called CPC Onboarding Success Evaluator (COSE), a machine learning model capable of predicting how many Certified Professional Controller (CPCs) the FA

Expected benefits

Not reported

System outputs

Based on what-if scenario, the system provides a graphical representation of a 5 or 10 year CPC staffing outlook (which is the predictive component provided by the ML). Alongside with the cost (training and salary) the "when" the target shifts (is it ear

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

No

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)

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

Yes

Authorization to Operate

Yes

Demographic features

Not reported

Training and evaluation data

Python-code algorithms are applied to multiple data sources owned by the agency such as Staffing Work Book, Federal Personnel Payroll Sytem, National Training Database, Controller workforce plan, etc. to train, fine-tune, and evaluate performance of the

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