Description
Implement a strategic trust framework that provides verifiable trust through transparent decision trails and trust scoring.
Trust Layers
Policy-Aligned Reasoning
- Embed policies in prompt engineering
- Constitutional AI-style constraints
- Hard stops for policy violations
- AI cannot generate decisions outside approved boundaries
Data Sensitivity Awareness
- Automatic classification detection
- Context-appropriate controls
- Classification-based processing rules:
- Public: Standard processing, minimal controls
- Internal: Access logging, basic redaction
- Confidential: Strict access control, full audit
- Restricted: Approval required, encryption, limited retention
Scenario-Aware Oversight
Evaluate contextual factors before every action:
- Temporal: time of day, deadline pressure, data freshness
- Source: request origin, user history, channel
- Purpose: stated intent, inferred intent, historical pattern
- Constraints: regulatory, organizational, technical
Transparent Decision Trails
Complete audit for every AI decision:
- Decision ID and timestamp
- Context snapshot at decision time
- Reasoning chain
- Data sources used
- Policies applied
- Controls triggered
- Final outcome with confidence
Trust Scoring
scorer = TrustScorer()
# Score an entity
trust_score = await scorer.score_entity(
entity_id="user_123",
factors={
"history_length": 365,
"violation_count": 0,
"verification_level": "2fa",
"behavior_consistency": 0.95,
},
)
# Score a decision
decision_trust = await scorer.score_decision(
decision_id="dec_abc123",
factors={
"data_quality": 0.9,
"model_confidence": 0.85,
"guardrails_passed": True,
"human_verified": False,
},
)
API Design
GET /api/v1/governance/trust/score/{entity_id}
GET /api/v1/governance/trust/audit/{decision_id}
GET /api/v1/governance/trust/audit?user_id=X&date_from=Y
Acceptance Criteria
Description
Implement a strategic trust framework that provides verifiable trust through transparent decision trails and trust scoring.
Trust Layers
Policy-Aligned Reasoning
Data Sensitivity Awareness
Scenario-Aware Oversight
Evaluate contextual factors before every action:
Transparent Decision Trails
Complete audit for every AI decision:
Trust Scoring
API Design
Acceptance Criteria