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This Evaluation Insight from EvalSDGs succinctly lays out risks associated with using artificial intelligence (AI) in monitoring and evaluation (M&E).
The paper highlights potential risks, provides examples of applications of AI in M&E, and provides a set of tips and questions to help guide readers in assessing the risks of AI applications in evaluation.
The risks identified are:
- Bias and fairness
- Data misinterpretation
- Privacy concerns
- Security vulnerabilities
- Ethical dilemmas
- Reliability and robustness
- Overreliance on technology
The paper argues that mitigating risks will require the implementation of ethical protocols, monitoring of the performance of the AI, and maintenance of of human oversight in M&E.
Sources
Gagliardone, L. (2024). EvalSDGs Insight #19: Quick tips to assess the risks of AI applications in monitoring and evaluation. EvalSDGs. Retrieved from: https://evalsdgs.org/2024/05/06/evalsdgs-insight-19-quick-tips-to-assess-the-risks-of-ai-applications-in-monitoring-and-evaluation/