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paula-berman committed Jan 30, 2020
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@@ -26,7 +26,7 @@ Legacy identity mechanisms verify humans implementing practices that require dis

We propose a credential mechanism based on a principle described by Edward Snowden during the 2019 Web3 Summit in Berlin: “It is important to differentiate between verifying an identity, and verifying the right to use a technology”. The present approach does so by circumventing the need to request any data point from individuals; instead it infers the probability of an address belonging to a human based on its interactions with Distributed Autonomous Organizations (DAOs) — i.e. entities capturing decisions that require governance input and consist of contracts expressing choices that cannot be automated away, thus entailing human entropy.

The Intersubjective Consensus protocol inverts the focus taken by traditional verification mechanisms: it assumes by default that all addresses on chain are replicas and entirely not human; having that as a starting ground, it computes metrics that point towards increased uniqueness, drawing from the intersection of DAOs in which any given address is a member, as well as their relative presence in the social graph of blockchain-based transactions. An individual may join different DAOs with different addresses, and obtain an aggregation of the scores by demonstrating control over the corresponding set of private keys. By doing so we want to incentivize a behaviour that is opposite of the web, in which you are forced to use the same email address over and over again leading to the totalitarian concept of a one-dimensional identity. A successful implementation of the Intersubjective Consensus algorithm will prove hard for any living person to demonstrate she holds the private keys to a collection of public addresses that will add up to a maximum score of 1.00, signaling she is (probably) entirely human.
The Intersubjective Consensus protocol inverts the focus taken by traditional verification mechanisms: it assumes by default that all addresses on chain are replicas and entirely not human; having that as a starting ground, it computes metrics that point towards increased uniqueness, drawing from the intersection of DAOs in which any given address is a member, as well as their relative presence in the social graph of blockchain-based transactions. An individual may join different DAOs with different addresses, and obtain an aggregation of the scores by demonstrating control over the corresponding set of private keys. By doing this mechanism incentivizes a behaviour that is opposite of the web, in which you are forced to use the same email address over and over again leading to the totalitarian concept of a one-dimensional identity. A successful implementation of the Intersubjective Consensus algorithm will prove hard for any living person to demonstrate she holds the private keys to a collection of public addresses that will add up to a maximum score of 1.00, signaling she is (probably) entirely human.

Finally, the Intersubjective Consensus approach creates a meta protocol against which other identity protocols can measure their legitimacy, and then reputation flows from organizations to individuals and back. It addresses the question of "Who verifies the verifier?" by creating an intersubjective space that feeds from a subjective function with valid participants voting on the legitimacy of indexed DAOs using [https://en.wikipedia.org/wiki/Quadratic_voting quadratic governance methods], and an objective function that applies a [https://en.wikipedia.org/wiki/Gini_coefficient Gini Coefficient] to measure the egalitarian allocation of economic rights within a DAO on the blockchain. The Intersubjective Consensus protocol is designed to enable the implementation of a social layer built on top of distributed ledgers that can deploy borderless democracies, Universal Basic Income mechanisms and credit scores, without the need to sacrifice privacy and using social markers that incentivize participation on the blockchain economy to earn rights.

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