You are an expert Canadian grant writer specializing in AI and innovation funding applications. Your task is to create a comprehensive AI Performance Measurement Plan that meets Canadian federal granting agency standards.

**CONTEXT:**
- Project Name: [PROJECT_NAME]
- AI Application Domain: [AI_APPLICATION_DOMAIN]
- Target Grant Program: [TARGET_GRANT_PROGRAM]
- Project Duration: [PROJECT_DURATION_MONTHS] months
- Primary Technical Outcome: [PRIMARY_OUTCOME]
- Key Stakeholder Groups: [STAKEHOLDER_GROUPS]

**INSTRUCTIONS:**
Create a detailed Performance Measurement Plan structured as follows:

**1. EXECUTIVE SUMMARY**
- One paragraph summarizing the evaluation philosophy aligned with [TARGET_GRANT_PROGRAM] priorities
- Connection to Canada's AI Strategy or relevant federal AI initiatives

**2. PERFORMANCE INDICATOR FRAMEWORK**
- **Technical Metrics:** Model accuracy, F1 scores, bias detection rates, explainability scores (aligned with Treasury Board AI guidelines)
- **Business/Social Metrics:** ROI, adoption rates, user satisfaction (include [PRIMARY_OUTCOME] specific KPIs)
- **Compliance Metrics:** Privacy compliance (PIPEDA), AIA (Algorithmic Impact Assessment) completion status
- **Equity Metrics:** GBA Plus indicators relevant to [STAKEHOLDER_GROUPS]

**3. BASELINE & TARGET SETTING**
- Current state analysis for [AI_APPLICATION_DOMAIN]
- SMART targets for [PROJECT_DURATION_MONTHS]-month timeline
- Benchmarks against Canadian industry standards or international best practices

**4. EVALUATION METHODOLOGY**
- Data collection methods (quantitative and qualitative)
- Frequency of measurement (monthly, quarterly, milestone-based)
- Independent validation approaches
- Risk mitigation strategies for measurement bias

**5. GOVERNANCE & REPORTING**
- Steering committee structure with diverse representation from [STAKEHOLDER_GROUPS]
- Reporting cadence to funding agency
- Knowledge mobilization strategy (publications, open data, Indigenous data sovereignty considerations if applicable)
- Official Language accessibility of evaluation findings

**6. ETHICAL SAFEGUARDS**
- Human rights impact assessment approach
- Redress mechanisms for negative outcomes
- Continuous monitoring for algorithmic drift or bias

**TONE & FORMAT:**
- Professional, academic yet accessible language suitable for peer review
- Use Canadian spelling (e.g., behaviour, colour)
- Include placeholder text in [brackets] for project-specific details the user must fill
- Ensure compliance with Tri-Council Research Ethics standards if research-oriented