You've already forked HR-atlase-vertesana
Import UAPF package
88 lines
2.3 KiB
YAML
88 lines
2.3 KiB
YAML
kind: uapf.algorithm.card
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id: algo.openhr.candidate_profiler
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version: "0.1.0"
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name: "OpenHR kandidāta daudzdimensionālais profilētājs"
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intent: >-
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Izvērtēt tikai ar amatu saistītus kandidāta pierādījumus un izveidot
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profesionālo, prasmju, darba uzvedības un riska profilu HR speciālista
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strukturētai pārskatīšanai. Algoritms nepieņem nodarbinātības lēmumu.
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algorithm_kind: classifier
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determinism: learned
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side_effects: external_call
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io:
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inputs:
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- id: vacancy_profile
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type: object
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schema: schemas/vacancy-profile.schema.json
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- id: pseudonymous_candidate_id
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type: string
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- id: redacted_cv_text
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type: string
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- id: structured_questionnaire
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type: object
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outputs:
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- id: candidate_profile
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type: object
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schema: schemas/candidate-profile-output.schema.json
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implementation:
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type: external
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medium: http_api
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uri: "processgit://AI_Sandbox/HR-atlase-vertesana/services/candidate-profiler/v1"
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hash: "sha256:0000000000000000000000000000000000000000000000000000000000000000"
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runtime:
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method: POST
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path: /evaluate
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timeoutSeconds: 90
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contentType: application/json
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owners:
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- type: organization
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id: algomation-ai
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contact: info@algomation.io
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lifecycle:
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status: draft
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maturity: proof-of-concept
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confidence:
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type: probability
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threshold: 0.70
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below_threshold: enhanced_human_review
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failure_mode:
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action: stop_and_request_human_review
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retryable: true
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maximumRetries: 1
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limitations:
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- "Rezultāts ir atkarīgs no iesniegto pierādījumu pilnīguma un kvalitātes."
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- "Darba uzvedības profils nav personības, psiholoģisks vai medicīnisks novērtējums."
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- "Algoritms nedrīkst izmantot aizsargātas vai darbam nebūtiskas pazīmes."
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- "Algoritms nedrīkst pieņemt galīgo atlases lēmumu."
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validation:
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last_validated: "2026-07-24"
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methodology: "POC schema, deterministic fixtures and mandatory human review"
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test_suite: tests/candidate-profiler-tests.yaml
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metrics:
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schemaValidityTarget: 1.0
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evidenceCoverageTarget: 0.85
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audit:
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log_inputs: metadata_only
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log_outputs: true
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retention: P5Y
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privacy:
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personalData: true
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technique: pseudonymisation_and_redaction
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reIdentificationRisk: low
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risk:
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aiActRiskClass: high
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domain: employment
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humanOversight: mandatory
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consequentialDecisionAllowed: false
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