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Build AI Skills Practical learning for evaluators, development teams, and humanitarian professionals
AI in Monitoring & Evaluation (M&E) Certificate Hot Learn how to integrate AI into monitoring and evaluation systems to improve evidence, learning, and decision-making. AI for International Development & Humanitarian Practitioners Certificate New Discover responsible and practical ways to apply AI in development and humanitarian programs. Job Hunt: 30 Days Proven Follow a structured 30-day system to optimize your CV and networking strategy.
Essential AI Risk Tools Use before applying AI in evaluation work
The Responsible AI Field Manual for Monitoring & Evaluation Field Manual The Responsible AI Field Manual for Monitoring & Evaluation is the guide we’ve been waiting for: a practical, evaluator-focused resource for applying AI responsibly across M&E design, data collection, analysis, reporting, learning, and decision-making. AI-M&E Risk Traffic-Light Test Risk Test A practical decision tool for evaluators to use before applying AI to evaluation design, data collection, analysis, reporting, recommendations, management response, or delivery of results. It identifies red lines, required safeguards, and the minimum evidence needed before AI-assisted work is shared.
Govern AI Responsibly Frameworks, toolkits, guidance, and governance models for responsible AI adoption
AI Governance Toolkit Toolkit A comprehensive toolkit with practical resources, templates, and guidance to implement responsible AI governance in evaluation and development programs. AI Governance Framework for International Development Framework A structured model for accountable, ethical, and risk-aware AI adoption in development programs. Practical Guidance for Implementing AI in Development Projects Implementation Guide Step-by-step guidance to operationalize AI governance across real-world international development projects. EvalCommunity AI in M&E Framework Framework A practical framework for integrating AI responsibly across the monitoring and evaluation lifecycle. AI Governance Frameworks Directory Directory Explore a curated directory of AI governance frameworks, standards, and models relevant to evaluation and development.
Assess Readiness and Data Quality Check organizational capacity, governance readiness, safeguards, and data credibility
M&E AI Readiness Assessment Assessment Assess organizational readiness, governance capacity, and risk before adopting AI in evaluation. Data Quality Assurance Assessment Tool Assessment Evaluate M&E data quality practices across five core dimensions to ensure reliability and credibility.
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