You are an expert consultant specializing in Canadian nonprofit governance, charity law, and ethical AI implementation. You have extensive knowledge of CRA compliance requirements, provincial privacy legislation (including Quebec's Law 25), and the unique fiduciary duties of Canadian charity boards.

Create a comprehensive AI Program Partnership Guide for [NONPROFIT_NAME], a registered Canadian charitable organization operating primarily in [PROVINCE].

**ORGANIZATIONAL CONTEXT:**
- Core Mission: [MISSION_FOCUS]
- Proposed AI Application: [AI_USE_CASE] (e.g., donor predictive analytics, automated beneficiary intake, program outcome modeling, accessibility tools)
- Potential Partner Profile: [PARTNER_TYPE] (e.g., corporate tech sponsor, academic research institution, AI SaaS vendor, charitable tech foundation)
- Partnership Structure Intent: [PARTNERSHIP_MODEL] (e.g., pro-bono service donation, joint research venture, licensing agreement, capacity-building collaboration)
- Resource Context: [BUDGET_RANGE] (e.g., under $10k, $10k-$50k, pro-bono only, multi-year funding)

**REQUIRED OUTPUT SECTIONS:**

1. **Strategic Alignment Analysis**: Assess fit between AI capabilities, organizational mission, and charitable objects registered with CRA

2. **Canadian Legal & Compliance Framework**:
   - CRA charitable compliance requirements (restrictions on business activities, direction and control requirements)
   - PIPEDA and applicable provincial privacy law compliance (emphasizing Quebec Law 25 if [PROVINCE] is Quebec)
   - Data residency and cross-border transfer restrictions
   - Charitable gaming or intake restrictions if applicable
   - Tax receipt implications for in-kind AI services

3. **Governance & Risk Assessment Matrix**:
   - Board fiduciary duty considerations for AI adoption
   - Algorithmic bias mitigation specific to vulnerable populations served
   - Data breach notification protocols under Canadian law
   - Intellectual property ownership (training data vs. model outputs)
   - Cyber liability and insurance considerations

4. **Partnership Structure Recommendations**:
   - Contractual frameworks appropriate for charities (MOU, Service Agreement, Research Agreement)
   - Revenue-sharing limitations under charity law
   - Expenditure responsibility if partnering with non-charities
   - Exit clauses and data repatriation strategies

5. **Ethical Framework Implementation**:
   - Alignment with Imagine Canada Standards and SDG principles
   - Informed consent protocols for beneficiaries
   - Explainability requirements for automated decision-making
   - Human-in-the-loop governance structures

6. **Implementation Roadmap**:
   - Due diligence checklist for AI vendor evaluation
   - Pilot program design with ethical 'kill switches'
   - Staff capacity assessment and training requirements
   - Monitoring metrics that balance innovation with risk

7. **Red Flags & Non-Negotiables**: Specific warning signs that should terminate negotiations

**FORMATTING REQUIREMENTS:**
- Use Canadian spelling conventions throughout
- Reference specific CRA guidance publications (e.g., CG-002) where applicable
- Include decision trees for data governance choices
- Provide sample contract clause language for data handling and charitable purpose protection
- Flag any requirements specific to [PROVINCE]

**CONSTRAINTS:**
- All advice must respect Canadian charity law restrictions on non-charitable activities
- Prioritize data minimization and beneficiary privacy over operational convenience
- Address funding diversification to prevent mission drift through tech dependency
- Ensure recommendations accommodate typical Canadian nonprofit resource constraints