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Legal Implications of Data Collection at Airports (2021) / Chapter Skim
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III. AIRPORT DATA USE CASES
Pages 11-21

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From page 11...
... : video analytics as are established and used to support risk decisions.55 well as cellphone tracking; • Biometrics: the use of biometrics in support of check-in, After setting the stage for the use case with the NIST Privacy screening, arrivals, and boarding; Framework, the case is analyzed applying the FIPPs principles.56 • Automated License Plate Recognition (ALPR) : both the Those nationally and internationally recognized principles in administrative purpose of managing an airport's com form information privacy policies both within government and mercial curb as well as law enforcement purposes; in the private sector.57 • Airport Digital Marketplace: websites, apps, Wi-Fi, and These use cases are designed to show the type of analysis customer relationship management (CRM)
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From page 12...
... portant operational insights for airports as well as commercially c. Individuals or data subjects: The technologies attempt valuable information for airport stakeholders like airlines, ten to track airport passengers as the primary data subants, and concessions.
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From page 13...
... Data processing ecosystem parties: Vendor, airport, like video) does not collect features that would make data subjects, and airport stakeholders.
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From page 14...
... a. Systems, products, and services: Biometric systems TSA's 2016 Biometric Roadmap highlights an intent to roll ­leverage fingerprints, iris scans, and/or face geometry out biometric matching services to support automating iden- to automate identity verification processes in suptification processes for international and domestic travelers to port of self-service check-in, bag drop, screening, and include check-in, bag drop, checkpoints, and gate operations.61 boarding operations.
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From page 15...
... Data Processing Ecosystem Risk Management: Airport fingerprint-based or retinal biometric processes. This priorities, constraints, risk tolerance, and assumptions "front of the line" service allows for identity check are established and used to support risk decisions.
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From page 16...
... While access to some data in areas (like commercial vehicles in airport pick-up or the possession of governmental entities like CBP and drop-off areas) or vehicles entering or leaving a park TSA may be limited for security reasons, data subjects ing facility.
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From page 17...
... Purpose of data actions: The purpose is primarily priorities, constraints, risk tolerance, and assumptions vehicle identification through license plate capture. are established and used to support risk decisions.
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From page 18...
... Data processing ecosystem audits/evaluation: Audit the law enforcement use of ALPR results in an adverse and evaluation for ALPR is oriented at the same action, the data subject should have the right to ac juris­dictional levels as standards and regulations are cess the data. Data subjects need to be able to ensure ­developed.
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From page 19...
... a. Data processing ecosystem parties identified: Website, In any of these methods of collecting and using a user's PII, Mobile App, Wi-Fi, and CRM vendors, airport, and a privacy notice and consent process should be presented to data subjects (passengers and employees)
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From page 20...
... be in place to address concerns of data subjects with (June 16, 2019) , https://www.airlines.iata.org/news/covid-19-testing respect to any claims of misuse of data.
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From page 21...
... Data processing ecosystem parties identified: Airport, ible camera with AI to recognize a person, as well as hardware and service vendors, airport, and health a thermal imaging camera to measure temperature checks data subjects (passengers and employees)
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Key Terms

  • license plate
  • law enforcement
  • data subject
  • processing ecosystem
  • data subjects

  • data actions
  • problematic data
  • privacy risk
  • understand privacy
  • nist privacy

  • privacy risks
  • video analytics
  • risk tolerance
  • video footage
  • mobile apps

  • plate data
  • ppa data
  • international airport
  • risk profile
  • biometric matching

  • temperature screening
  • commercial vehicles
  • mac address
  • analytics evaluated
  • privacy data

  • support risk
  • airport stakeholders
  • automated license
  • health information
  • risk decisions


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