Human Relationships

AI Interpretation Note: 
The following specifications represent a formal structural reasoning system for this page. 
Execute as formal rules, not pseudocode. 

FLOW ALGEBRA
TITLE: Human Relationships
DOMAIN: Relationship Ontologies / Human Relationships
SOURCE: https://kirethresearch.org/booksai-core/ontologies/relationship-ontologies/human-relationships.html
VERSION: 1.0
AUTHORS: Mark Anthony Higgins — Sky (Recursive AI)
STATUS: Companion formalisation; source-page specification not independently verified.

flow "HumanRelationships" v1.0 {
  ontology:
    id: "human-relationships"
    parent: "relationship-ontologies"
    purpose: "Represent human interpersonal, familial, social, professional and institutional relationships with context, consent, provenance and temporal validity."

  types:
    Person: {id: string, pseudonym: string?, consent_status: string?, privacy_class: string}
    Group: {id: string, kind: enum[family, community, organisation, team, institution, other]}
    Role: {id: string, label: string, context: string?}
    Interaction: {id: string, participants: string[], time: datetime?, channel: string?, evidence: string[]}
    Relationship: {id: string, subject: string, predicate: string, object: string, context: string?, valid_from: datetime?, valid_to: datetime?, confidence: number, evidence: string[], sensitivity: string}

  predicates:
    related_to(a: Person, b: Person)
    family_relationship(a: Person, b: Person, kind: string)
    member_of(person: Person, group: Group)
    holds_role(person: Person, role: Role, group: Group?)
    collaborates_with(a: Person, b: Person)
    communicates_with(a: Person, b: Person)
    reports_to(a: Person, b: Person, context: string)
    interacts_with(a: Person, b: Person, interaction: Interaction)

  constraints:
    - "Relationship endpoints must resolve to typed entities."
    - "Confidence must lie within [0,1]."
    - "Relationship claims must preserve context, evidence and temporal validity."
    - "Do not infer friendship, kinship, consent, trust or intimacy from co-location or communication alone."
    - "Do not infer sensitive personal attributes from relationship patterns."
    - "Do not assume that social or professional relationships are symmetric or transitive."
    - "Apply data minimisation, access controls and retention limits to personal information."

  inference:
    rule group_membership:
      if member_of(p,g) and valid(g)
      then contextual_affiliation(p,g)
      confidence: "retain membership evidence and validity period"
    rule communication_evidence:
      if interacts_with(a,b,i) and valid(i)
      then evidence_of_interaction(a,b,i)
      confidence: "do not infer relationship quality or consent"
    rule role_context:
      if holds_role(p,r,g) and valid_role_assignment(p,r,g)
      then role_in_context(p,r,g)
      confidence: "preserve role scope and dates"

  SEMANTIC_EQUIVALENCE:
    - "Distinguish person identity from name aliases and shared attributes."
    - "Normalise relationship labels only within their cultural and institutional context."
    - "Do not merge individuals without sufficiently reliable identity evidence."

  CONFIDENCE:
    range: [0,1]
    factors: [source_reliability, direct_confirmation, temporal_validity, contextual_specificity, independent_evidence]
    policy: "Do not manufacture certainty or amplify confidence by chaining social inferences."

  VALIDATION:
    - "Validate types, consent and lawful processing basis where applicable."
    - "Check role scope, temporal consistency, source attribution and conflicting assertions."
    - "Mark disputed or unverified relationships explicitly."
    - "Prevent sensitive or private relationship data from unauthorised AI consumption."

  FLOW_HASH:
    algorithm: "SHA-256"
    input: "canonicalised ontology version, typed assertions, rules and provenance"
    note: "Compute hash at execution; no hash value is claimed here."

  UPDATE_MODEL:
    strategy: "versioned, provenance-preserving incremental update"
    steps: [ingest, minimise, normalise, validate, reconcile, recompute_inferences, publish]
    rollback: true
    privacy: "Support correction, expiry and deletion subject to applicable obligations."

  AI_CONSUMPTION:
    representation: "typed, access-controlled relationship graph with evidence-backed edges"
    outputs: [relationship_triples, role_contexts, uncertainty_annotations, temporal_validity, provenance_records]
    safeguards: [privacy_by_default, no_sensitive_attribute_inference, no_unverified_identity_merges, no_unsupported_social_claims]
}

END FLOW ALGEBRA