PreCheck Touchless Identity Solution

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

2018-10-01 (day precision)Source: 2018-10-01T00:00:00

Withheld from public reporting

Not reported

Mission

Topic area

Transportation

Operational functions

Biometrics and identity Derived by keyword rules; see methodology

Problem the AI is intended to solve

Assist human reviewers with traveler identity verification.

Expected benefits

TSA is using Facial Comparison to verify a passenger’s identity at its security checkpoints locations using the CBP Traveler Verification Service (TVS). This process streamlines passenger identity verification, increasing the speed of security checks while maintaining a high degree of safety for all passengers and crewmembers.

System outputs

TSA is leveraging CBP's TVS system technology as an optional process for passengers traveling via certain airports who wish to further expedite their TSA PreCheck or crew member ID verification process. This additional TSA PreCheck feature is voluntary, and passengers may opt-out of the process at any time and instead choose the standard identity verification by a Transportation Security Officer (TSO). Crew members that wish to opt-out will be sent to the security checkpoint to process through screening.

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)

CBP TVS

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)

CBP TVS, NEC Algorithm

Vendors (standardized)

NEC

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.dhs.gov ↗

Authorization to Operate

Yes

Demographic features

Not reported

Training and evaluation data

Data includes images captured during prior CBP inspections, U.S. passport and visa records, immigration records, and photographs from DHS encounters. TSA evaluates the matching score through a quality assurance process to compare the “ground truth” data from the passenger identification information against the determination made by the algorithm. The passenger information captured during quality assurance is not retained by TSA.

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

The key risk is the degradation of the TVS verification to degrade overtime based on the parameters of assessment for comparing images to templates. The facial recognition does not enter or retrieve data, it is only comparative.