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7-Core-Risk Assessment Template | EvalCommunity Academy

7-Core-Risk Assessment Template

Complete interactive matrix for evaluating all seven AI risks in your M&E context

EvalCommunity Academy | AI Ethics in Monitoring & Evaluation

📋 How to Use This Assessment Tool

  1. For each of the seven core risks, assess the likelihood and potential impact based on your AI implementation context
  2. Document specific mitigation strategies for high-risk areas identified in the assessment
  3. Review the generated action plan and download your completed assessment for organizational records
  4. Re-assess quarterly to monitor risk evolution and update mitigation strategies

Note: This assessment should be completed by a cross-functional team including M&E specialists, data scientists, and sector experts.

⚡ Assess Your AI System

1

1. Bias & Fairness

AI inherits biases from training data, leading to discriminatory outcomes and distorted findings in social evaluations.

2

2. Data Misinterpretation

Flawed data or poor algorithm design causes AI to misread patterns, producing misleading or incorrect outputs.

3

3. Privacy Concerns

Processing sensitive personal data risks violations, unauthorized access, and misuse of information.

4

4. Security Vulnerabilities

Systems are targets for cyberattacks, data manipulation, and breaches that destroy evaluation credibility.

5

5. Ethical Dilemmas

Raises issues of surveillance overreach, automated discrimination, and lack of consent or transparency.

6

6. Reliability & Robustness

AI may fail under unexpected conditions, produce inconsistent results, and lack resilience over time.

7

7. Overreliance on Technology

Excessive dependence reduces human judgment, undermines oversight, and weakens trust in conclusions.

📊 Your 7-Core-Risk Assessment Results

Assessment completed on:

🚀 Recommended Action Plan

📚 Further Learning Resources

AI Bias Detection in M&E

Learn about types of AI bias and practical detection methods for monitoring and evaluation contexts.

View Resource →

Bias Audit Frameworks

Step-by-step frameworks for auditing algorithmic bias in program evaluations and impact assessments.

View Resource →

Quarterly Audit Checklist

Comprehensive checklist for regular ethical monitoring of AI systems in development programs.

View Resource →

AI Ethics in Healthcare M&E

Specialized guidance for AI applications in healthcare monitoring and evaluation systems.

View Resource →

EvalCommunity Academy. This interactive assessment tool is part of the AI in Monitoring & Evaluation curriculum.

For support or to provide feedback on this tool, contact: info@evalcommunity.com