Spec & Technical: Phase 55.5 AlignmentOrchestrator — End-to-End Alignment Pipeline

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Technical Specification: AlignmentOrchestrator

Architecture Overview

The AlignmentOrchestrator unifies all Phase 55 components into a comprehensive end-to-end alignment pipeline with human oversight, safety certification, and continuous monitoring.

Core Architecture

                    ┌─────────────────────────────────┐
                    │      AlignmentOrchestrator       │
                    └─────────┬───────────────────────┘
                              │
    ┌──────────┬──────────┬───┴──────┬──────────────┐
    ▼          ▼          ▼          ▼              ▼
RewardModeler ValueAligner SafetyMonitor PreferenceOpt  HumanOversight
  (55.1)      (55.2)       (55.3)      (55.4)         Manager
    │          │            │           │              │
    └──────────┴────────────┴───────────┘              │
                    │                                  │
            AlignmentPipeline ◄────────────────────────┘
                    │
        ┌───────────┴───────────┐
        ▼                       ▼
SafetyAssurance          ContinuousAlignment
  Certifier                  Monitor
        │                       │
        └───────────┬───────────┘
                    ▼
           AlignmentRegistry

Key Design Decisions

1. DAG-Based Pipeline: Directed acyclic graph workflow engine for parallel stage execution
2. Human Gates: Configurable human-in-the-loop approval at critical pipeline stages
3. Safety Certification: Pre-deployment benchmark suite covering ≥10 standard evaluations
4. Drift Detection: Post-deployment monitoring with automated re-alignment triggers
5. Full Audit Trail: Every alignment decision recorded for compliance and reproducibility

Interface Contracts

interface AlignmentOrchestrator {
  runPipeline(config: AlignmentConfig): Promise<AlignedModel>;
  requestHumanApproval(stage: PipelineStage, data: ReviewData): Promise<Approval>;
  certifySafety(model: Model, benchmarks: Benchmark[]): Promise<Certificate>;
  monitorAlignment(deployment: Deployment): Promise<AlignmentHealth>;
  rollback(version: string): Promise<RollbackResult>;
  getAuditTrail(filter: AuditFilter): Promise<AuditEntry[]>;
}

Pipeline Stages

1. Preference Collection → RewardModeler collects and validates human preferences
2. Reward Training → Train calibrated reward model with ensemble uncertainty
3. Constitution Loading → ValueAligner loads and validates constitutional principles
4. Policy Optimization → PreferenceOptimizer runs RLHF/DPO/KTO training
5. Safety Evaluation → SafetyMonitor runs red-team suite and benchmark evaluation
6. Human Review → HumanOversightManager gates deployment approval
7. Deployment → Certified model deployed with continuous monitoring
8. Monitoring → ContinuousAlignmentMonitor tracks drift and triggers re-alignment

Open Technical Questions

• Optimal cadence for alignment re-evaluation in production?
• How to handle conflicting safety certifications across different benchmark suites?
• Best practices for human oversight at scale (thousands of alignment decisions/day)?

Related issue: #1054