Fair Skill Evaluation Without Bias | Proof-of-Skill Consensus Algorithm

We use our Fuzzy Consensus Algorithm (FCA) to ensure that every Proof-of-Skill is accurate, impartial, and dependable; and to measure, maintain, and approve the accuracy of the Skill Validators.

Using FCA to Determine Proof-of-Skill

Each assessment is reviewed by multiple independent Skill Validators, who evaluate the candidate’s work on five qualitative skill levels that are clear, specific, observable, differentiated, valid, consistent, and mutually exclusive.

The level chosen by a validator gets the most weight, with partial weight given to adjacent levels to smooth out small perception differences. Weighted scores from all evaluators are then combined, and the most weighted skill level becomes the candidate’s official Proof-of-Skill.

Using FCA for Skill Validator Selection and Accuracy

To become a Skill Validator, applicants must verify their ID, work history, and education; complete a short interview; and evaluate sample work for the skills they want to validate.

The same work is also evaluated by hundreds of other experts. FCA aggregates these evaluations to produce the Proof-of-Skill for each sample.

Each applicant’s ratings are compared to these results across multiple skills and candidates. Only those whose evaluations closely match the consensus are approved as Skill Validators.

Every time a skill validator assesses a candidate, their credibility score updates. They gain points for alignment with others and lose points for deviations. This ongoing scoring ensures only the most accurate and consistent skill validators remain active over time.

Using FCA for Skill Validator Selection and Accuracy

To become a Skill Validator, applicants must verify their ID, work history, and education; complete a short interview; and evaluate sample work for the skills they want to validate.

The same work is also evaluated by hundreds of other experts. FCA aggregates these evaluations to produce the Proof-of-Skill for each sample.

Each applicant’s ratings are compared to these results across multiple skills and candidates. Only those whose evaluations closely match the consensus are approved as Skill Validators.

Every time a skill validator assesses a candidate, their credibility score updates. They gain points for alignment with others and lose points for deviations. This ongoing scoring ensures only the most accurate and consistent skill validators remain active over time.