Balancing AI and Human Judgment in Monitoring & Evaluation: Safeguarding Trust and Credibility in Evidence-Based Decision Making
Painel | Hybrid
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Organized by:
Development Bank of NIgeria
About the Event
This panel discussion will explore the evolving role of Artificial Intelligence (AI) in Monitoring and Evaluation (M&E) and how evaluators can effectively balance AI tools with human judgment. The session will cover key aspects such as:
1. Understanding the benefits and limitations of AI in M&E processes.
2. Identifying potential biases in AI-assisted evaluation.
3. Ensuring transparency and accountability in evaluation findings.
4. Strategies to maintain trust in evaluation outcomes in an AI-augmented environment.
5. Key competencies evaluators need to work effectively with AI tools.
1. Understanding the benefits and limitations of AI in M&E processes.
2. Identifying potential biases in AI-assisted evaluation.
3. Ensuring transparency and accountability in evaluation findings.
4. Strategies to maintain trust in evaluation outcomes in an AI-augmented environment.
5. Key competencies evaluators need to work effectively with AI tools.
Speakers
| Nome | Título | Biography |
|---|---|---|
| Alexander Stephen Ejembi | Mr | Alexander Ejembi Stephen is a Monitoring & Evaluation Officer at the Development Bank of Nigeria (DBN), specialising in tracking project performance, analysing data, and assessing the impact of development initiatives. He holds an MBA and leverages his expertise in M&E to support evidence-based decision-making and enhance program effectiveness. Based in Abuja, Nigeria, he is committed to strengthening development programs through data-driven insights. |