For the complete documentation index, see llms.txt. This page is also available as Markdown.

Proof of Personhood (POP) Algorithm

Approach

POP scoring for each user and organisation based on multiple touchpoints.

Assumptions

  • Users and organisations will not all want to use the same method of POP

  • there may be one, many or a combination of proof of personhood methods that are valid

  • some proof of personhood methods are valid contributors to POP score but imperfect as a sole point of reliance.

  • Institutional registries (eg public Company registries) are assumed not to have third party verification until approved as part of algorithm

  • Users and organisations will claim false credentials until

Algorithm Components

  • Biometrics

    • worldcoin

  • Approved National/International/Institutional credentials

    • ID cards / driving licence / BankID (Sweden) & other national ids

    • Stock market indices (ie reliance upon public company verification)

      • note that LEI (Legal Entity Identifier) & National Company Registries are unlikely to offer a valid POP component and each will need approval case by case

    • OpenBanking / Bank Statements / AML Credentials (eg from Coinbase if can partner)- digital integration

    • KYC / AML on platform (subject to budget constraints)

  • Social-graph

    • Connections on Profile.io including:

      • endorsements from other trusted users and organsations

      • badges from issuer organisations

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