AI-Assisted, Human-Governed
How artificial intelligence supports MCC while ensuring human oversight remains paramount
How AI Supports MCC
Project Completeness Screening
AI assists in rapidly reviewing submitted documentation to identify missing or incomplete sections
Consistency Analysis
Detects inconsistencies in project data to flag potential issues for human review
Quantification Validation
Checks quantification calculations for mathematical accuracy and methodology alignment
Document Classification
Automatically categorizes and organizes project documentation for faster human review
Trend Analysis
Analyzes historical project data to identify patterns and improve programme design
Risk Assessment Support
Helps prioritize projects for deeper human review based on risk indicators
Registry Integrity Monitoring
Continuously monitors registry for anomalies or inconsistencies
📌 Key Point: AI enhances efficiency and supports analysis, but never makes final decisions about project approval or credit issuance.
What AI Never Does
- ✕Make final approval or rejection decisions
- ✕Override human judgment or expert assessment
- ✕Set confidence thresholds or modify AI parameters
- ✕Determine methodology validity or scientific rigor
- ✕Assess verification of actual project outcomes
- ✕Make policy or governance decisions
Human Oversight Guarantees
Every AI Assessment is Reviewed by Humans
No decision is ever made solely based on AI analysis. All AI outputs are examined by qualified humans before any action is taken.
Confidence Thresholds
AI-generated assessments below confidence thresholds require additional human expert review regardless of the assessment result.
Full Audit Trail
Complete documentation of all AI assessments, human reviews, and final decisions are maintained and auditable.
Appeal Rights
Project proponents can appeal any decision and request explanation of how AI was used in the process.
Full Transparency
AI Assessments Are Logged
Every AI analysis is recorded with:
- ✓Input data and parameters
- ✓AI output and confidence score
- ✓Human reviewer assessment
- ✓Final decision and rationale
Auditability
Project proponents can request:
- ✓Explanation of AI involvement in their review
- ✓Documentation of all assessments conducted
- ✓Reasoning behind human decisions
- ✓Appeal of any decision
The MCC Trust Framework
Independent Verification Remains Paramount
Actual project verification is conducted entirely by independent, accredited validators and verifiers. AI is never involved in assessing whether conservation outcomes actually occurred.
Expert Human Review
Qualified experts with domain knowledge review all assessments and make final decisions based on science and programme standards, not AI recommendations alone.
Stakeholder Accountability
All governance bodies are accountable to stakeholders through transparent processes, appeals rights, and regular public engagement.
Learn More About Our Process
Explore how MCC combines technology with rigorous human oversight to ensure credible marine conservation outcomes