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2020.03.11 Using facial recognition for digital identification in public services (London)

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2020.03.11 Using facial recognition for digital identification in public services
Big Data & AI World
London

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2020.03.11 Using facial recognition for digital identification in public services (London)

  1. 1. Using facial recognition for digital identification in public services London, 11th March 2020 Miquel Estapé
  2. 2. Catalonia • Region of Spain • 7.5 M inhabitants • 1,000 local councils 90% < 20K inhab. Miquel Estapé + • +20 years in Government • Mayor of la Roca del Valles • VP Catalan Public Mgmt Association • Strategy & Innovation. Open Government of Catalonia Consortium
  3. 3. Agenda 1. Let’s clarify facial recognition 2. Is it accurate? 3. Why? 4. Checklist & good practices 5. Examples in Government 6. Conclusions
  4. 4. Let’s clarify facial recognition
  5. 5. Too much confusion
  6. 6. Europe is not China, nor USA GDPR
  7. 7. Public Security vs General Public Services Airports Going though customs (not GDPR) State Gov website Provide a Mobile eID means
  8. 8. Is facial recognition accurate?
  9. 9. False Match = 1/1000 (identity fraud) Accuracy = +99%
  10. 10. Why facial recognition for digital identification in public services?
  11. 11. 40 % Online Transactions 80 % Internet Users Lack of a global eID is a big barrier
  12. 12. 2FA Mobile ID On-line enrolment: ID verification based on info known only by the individual & Gov Low level of assurance eIDAS European Regulation
  13. 13. 98% 2% Online In-person 350 offices 80% 19 % 1% Low Medium High % On-line Services per Level of Assurance Citizens Enrolment Government Offices Citizens hate wasting their time
  14. 14. Good practices of using facial recognition in public services?
  15. 15. Regulations about online enrolment • EU eIDAS Regulation Assurance levels for electronic identification means 2015/1502 • ETSI EN 319 411-1. Trust Service Providers issuing qualified digital certificates • NIST – Digital Identity Guidelines. SP 800-63A - Enrolment and Identity Proofing • EU Anti-Money Laundering Directive 2015/84
  16. 16. Checklist & Good Practices • No alternative for online enrolment - medium LoA • Legitimate interests: balance goal vs rights & freedoms • Specific & freely given consent: alternatives for citizens who do not want to share their bio data • Facial recognition algorithms evaluated by NIST • Perform bias tests • No central database with biometrics data (“hashes”) • High level security measures • Not an automated process human intervention • Best practices “know-you- customer” (AML directive) • Be Transparent about the process • Conduct a Privacy impact Assessment
  17. 17. 270 Gov offices On-line: Medium level of assurance ID verification based on facial recognition • Scan ID & Verification • Selfie • Liveness detection • Video recording • Facial recognition: selfie vs photo ID • Checking ID exists in a official Gov database • Verification of mobile phone: 1 OTP SMS • Final validation by a human 2FA Mobile ID
  18. 18. Examples in Government
  19. 19. Conclusions
  20. 20. Conclusions Respects GDPR Convenient Safe & secure Giving you choice Trustworthy (?) Cheaper
  21. 21. Disclaimer: The views, thoughts, and opinions expressed in this presentation belong solely to the author, and not necessarily to the author’s employer, organization, committee or other group or individual. Thanks for your attention ! Miquel Estapé

2020.03.11 Using facial recognition for digital identification in public services Big Data & AI World London

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