Transparency & Audit
Every AI decision in EvidAI is fully documented, explainable, and auditable - meeting the highest standards for research integrity.
Complete Audit Trail
What We Track
Every decision records:
- Timestamp: When it occurred
- Agent: Which AI component
- Input: What was analyzed
- Output: Decision or recommendation
- Confidence: Certainty level
- Evidence: Supporting information
- Human action: Final decision
Accessible History
View audit logs:
- By review phase
- By study
- By decision type
- By time period
Explainable Decisions
Reasoning Display
For each AI decision, see:
- Why this recommendation was made
- What evidence supports it
- Alternative considerations
- Confidence factors
Supporting Evidence
Every recommendation shows:
- Relevant text excerpts
- Source document locations
- Page/paragraph references
- Highlighting in original
Compliance Documentation
Research Integrity
Audit trails support:
- PROSPERO registration
- PRISMA reporting
- Journal requirements
- Peer review responses
Regulatory Submissions
Documentation meets:
- FDA requirements
- EMA standards
- HTA body expectations
- Institutional compliance
Export Capabilities
Audit Reports
Generate comprehensive reports:
- Decision summaries
- Change logs
- Quality metrics
- Compliance checklists
Formats
Export in:
- PDF (human-readable)
- JSON (machine-readable)
- CSV (spreadsheet)
- XML (structured data)
Quality Metrics
Performance Tracking
Monitor AI performance:
- Agreement with humans
- Confidence calibration
- Decision consistency
- Processing efficiency
Benchmarking
Compare against:
- Expert gold standards
- Historical performance
- Industry benchmarks
Privacy & Security
Data Protection
All audit data is:
- Encrypted at rest
- Encrypted in transit
- Access controlled
- Retention compliant
Access Controls
Audit access governed by:
- Role-based permissions
- Team membership
- Project assignment
- Administrative oversight
Best Practices
For Auditing
- Review audit trails periodically
- Export for permanent records
- Address anomalies promptly
- Maintain documentation
For Transparency
- Share methodology details
- Document AI limitations
- Acknowledge uncertainty
- Report comprehensively