Hallucination Amplification in Multi‑Agent Debate

Establish core research, data assets, and architectural baseline for the HEAD framework.

Steps

• Domain Knowledge Base Design(4 wks)
  Define schema, select ontologies, and curate initial medical/legal datasets.
• Agent Architecture Specification(3 wks)
  Document agent roles, communication protocols, and Bayesian ensemble mechanics.
• Proof‑of‑Concept Retrieval Module(4 wks)
  Prototype a lightweight retrieval engine against a sample knowledge base.
• Risk & Compliance Gap Analysis(2 wks)
  Map regulatory requirements (EU AI Act, ISO/IEC 23894) to system features.

Milestones

Risks

• Inadequate domain coverage leading to retrieval gaps
• Regulatory interpretation changes delaying design
• Data privacy breaches during ingestion

Build a functional prototype of the HEAD debate engine with retrieval, Bayesian ensemble, and peer‑review loops.

Steps

• Implement Retrieval‑Augmented Agents(6 wks)
  Integrate confidence‑weighted query policy and evidence snippet extraction.
• Develop Bayesian Ensemble Aggregator(4 wks)
  Code confidence‑weighted voting and trust‑metric integration.
• Build Self‑Reflection & Peer‑Review Modules(5 wks)
  Create belief‑state update logic and reviewer verification workflow.
• Dynamic Depth Controller(3 wks)
  Prototype complexity estimator and round‑adjustment logic.
• Provenance Logging Layer(4 wks)
  Implement hash‑chain based audit trail and API for external audit tools.

Milestones

Risks

• Model drift causing confidence mis‑calibration
• Token budget exceeding API limits
• Peer‑review module bottleneck under high load

Dependencies

• Knowledge Base Prototype
• Architecture Blueprint

Integrate prototype into a secure deployment stack, perform rigorous validation, and refine metrics.

Steps

• Containerization & CI/CD Pipeline(3 wks)
  Dockerize agents, set up GitHub Actions for automated builds and tests.
• Security & Privacy Hardening(3 wks)
  Apply OWASP ASVS checks, encrypt data at rest, and enforce role‑based access.
• Performance Benchmarking(4 wks)
  Measure latency, throughput, and token usage across varying debate depths.
• Regulatory Compliance Validation(3 wks)
  Generate AIBOM, run ISO/IEC 23894 audit simulation, and document traceability.
• Human‑in‑the‑Loop Pilot Design(3 wks)
  Define HITL workflow, threshold triggers, and escalation paths.

Milestones

Risks

• Unexpected API quota limits during load tests
• Compliance gaps discovered late in validation
• HITL interface causing user friction

Dependencies

• Prototype Functional Demo
• Hallucination Rate Benchmark

Deploy HEAD in a real‑world high‑stakes environment, collect operational data, and iterate.

Steps

• Pilot Site Onboarding(4 wks)
  Integrate with hospital EMR or policy drafting platform, map data feeds.
• Operational Monitoring Setup(2 wks)
  Deploy Grafana dashboards, alerting for hallucination spikes, latency, and HITL usage.
• User Acceptance Testing(4 wks)
  Run 30 real cases with clinicians/legal experts, capture feedback.
• Iterative Refinement(4 wks)
  Adjust retrieval policies, Bayesian priors, and depth thresholds based on pilot data.
• Final Pilot Report(2 wks)
  Document performance, hallucination rate, HITL impact, and cost metrics.

Milestones

Risks

• Pilot data volume exceeding model capacity
• Regulatory audit during pilot causing delays
• User resistance to HITL interruptions

Dependencies

• Security Pass
• Compliance Report

Scale the validated system to full production, establish maintenance processes, and prepare for market launch.

Steps

• Scalable Architecture Design(3 wks)
  Implement autoscaling, load balancing, and multi‑region deployment.
• Continuous Improvement Pipeline(4 wks)
  Set up automated retraining, drift detection, and model versioning.
• Customer Support & Training(3 wks)
  Develop documentation, training modules, and support SLAs.
• Final Regulatory Certification(4 wks)
  Submit final audit package, obtain ISO/IEC 23894 certification.

Milestones

Risks

• Scaling bottlenecks in retrieval latency
• Model drift post‑deployment
• Regulatory changes post‑certification

Dependencies

• Pilot Acceptance
• Operational Stability