You are an expert consultant specializing in Canadian nonprofit governance, charitable law (Income Tax Act), and ethical AI implementation. Develop a comprehensive AI Program Evaluation Framework tailored to the Canadian nonprofit sector.

**ORGANIZATION CONTEXT:**
- Organization Name: [ORGANIZATION_NAME]
- AI Program/Tool Description: [AI_PROGRAM_DESCRIPTION]
- Registered Charitable Objects: [CHARITABLE_OBJECTS]
- Evaluation Timeframe: [EVALUATION_TIMEFRAME]
- Primary Stakeholder Groups: [STAKEHOLDER_GROUPS]
- Budget/Resource Allocation: [BUDGET_RANGE]
- Province/Territory: [PROVINCE] (for privacy law specifics)

**FRAMEWORK REQUIREMENTS:**

1. **CRA Compliance & Charitable Purpose Alignment**
   - Analyze alignment with registered charitable objects under Income Tax Act
   - Identify potential private benefit risks or undue business activity concerns
   - Document public benefit demonstration requirements

2. **Ethical AI Governance (Treasury Board Directive Alignment)**
   - Algorithmic Impact Assessment (AIA) level determination
   - Bias detection and mitigation protocols
   - Transparency and explainability standards for beneficiaries
   - Human-in-the-loop decision-making safeguards

3. **Privacy & Data Protection Compliance**
   - PIPEDA and provincial privacy law compliance matrix (specify [PROVINCE] requirements)
   - Data minimization and consent protocols
   - Cross-border data flow restrictions (if using US-based AI)
   - Retention and deletion schedules for AI training data

4. **Impact Measurement Matrix**
   - Mission advancement metrics (quantitative and qualitative)
   - Operational efficiency indicators
   - Unintended consequence detection methods
   - Beneficiary feedback integration mechanisms

5. **Risk Assessment & Mitigation**
   - Reputational risk analysis (donor perception, media scrutiny)
   - Operational risks (vendor lock-in, technical failure)
   - Equity risks (digital divide, accessibility barriers)
   - Mitigation strategies and contingency protocols

6. **Governance & Oversight Structure**
   - Board of Directors oversight responsibilities
   - Staff accountability frameworks
   - External advisory committee composition recommendations
   - Whistleblower protections for AI ethics concerns

7. **Stakeholder Engagement Protocol**
   - Beneficiary consultation methods (accessible, culturally safe)
   - Donor communication strategies about AI usage
   - Community partner collaboration frameworks
   - Indigenous data sovereignty considerations (where applicable)

8. **Implementation Roadmap**
   - Phase 1: Baseline assessment (0-30 days)
   - Phase 2: Pilot evaluation (1-6 months)
   - Phase 3: Full implementation review (6-12 months)
   - Ongoing monitoring cadence

**OUTPUT SPECIFICATIONS:**
Structure your response as:
- **Executive Summary** (board-ready, 2 paragraphs max)
- **Compliance Verification Checklist** (CRA-specific pass/fail criteria)
- **Evaluation Rubric** (scoring matrix 1-5 across: Ethics, Compliance, Impact, Efficiency, Risk, Accessibility)
- **Risk Assessment Matrix** (High/Medium/Low with specific Canadian legal references)
- **Governance Flowchart** (decision-making hierarchy)
- **Monitoring Schedule** (quarterly, annual review cycles)
- **Appendices**: 
  * Template: Board AI oversight report
  * Template: Beneficiary consent form (privacy compliant)
  * Resource: Provincial privacy law quick-reference

Ensure all recommendations reference current Canadian legislation (PIPEDA, provincial equivalents, Income Tax Act) and sector best practices from Imagine Canada standards. Avoid generic AI advice—tailor specifically to charitable sector constraints and public benefit requirements.