How does the Pi KYC solution work? Pi Network’s KYC solution is being built through our Pi App Engine as an ecosystem app. Keep in mind that this solution attempts to create a balance between accuracy and privacy, while achieving scalability for millions of KYC, wide coverage of diverse populations, and accessibility.
Our KYC solution itself combines machine automation and human verification in order to accomplish accurate and efficient KYC for everyone. Machine automation will be responsible for image processing, text extraction, fake ID detection, liveness check and image comparison. KYC’ed human verifiers may then have to check for errors. \
The importance of having and improving the machine automation component are twofold:
1) scalability to KYC millions of Pioneers.
2) reducing the data exposure to human verifiers to better protect Pioneers’ privacy.
Your participation in the current pilot release of the KYC app will help improve our machine automation to satisfy these goals.
Specifically to protect individual Pioneers' privacy, personal data — except for data the machine failed to read — will be properly redacted.
Human verifiers will see a redacted version of your ID document, meaning that only your photo and overall look of your ID will be visible. Verifiers will then establish whether your photo ID is the same type as you stated in the data form and if the person pictured in your ID is really you.
Note that every human verifier must be previously KYC’ed and any malpractice on their part will lead to their immediate removal from the KYC app.
Each Pioneer’s KYC requires independent validation from at least two KYC human verifiers who are randomly selected from a pool of crowd workers from the same country.
The KYC app’s code may also be published as PiOS in the future so that community developers can help add country-specific features and documents to contribute to this project.
Disclaimer: The data submitted, by these initial Pioneers participating in this Pilot version of the KYC app, will be visible without redactions to the Core Team members who are developing this app — we need to check if the machine automation results are accurate when compared with your data. So, it is okay to wait until later if you are concerned about privacy. Also, as this is a pilot, we welcome Pioneers’ reports on security vulnerabilities in order to improve our security measures as well.
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