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Exploring AI & Big Data in Evaluation: Key Insights from Our Online Session

CommunitorPlus

We recently hosted an engaging and forward-looking session, exploring the intersection of big data, artificial intelligence (AI), and evaluation. Organized by our Outreach Team member, Ghizlane Khammal (Enabel), this session provided valuable insights into how these emerging technologies can be integrated in the evaluation practices.




Salah E. Bouyousfi presented findings from his systematic review on the use of AI and big data in evaluation. He explored both the opportunities and challenges of integrating these technologies, emphasizing the risk of biases, the need for human validation, and the increasing role of data scientists in evaluation.

Salah is a researcher and consultant specializing in evaluation methodologies. He co-chairs the Professionalization of Evaluation Task Force at IOCE, serves on the Moroccan Evaluation Association board, and teaches at ENAP, Quebec.


In the second half of the session, Ghizlane Khammal shared Enabel’s perspective on AI in evaluations. She highlighted both the benefits of AI and the risks associated with biases, ethical concerns, and privacy issues, offering a balanced view on its potential applications in development evaluation.

Ghizlane is a Monitoring, Evaluation, and Learning (MEL) specialist, currently serving as a MEL Officer at Enabel Maroc, where she focuses on citizen participation and knowledge management. She has conducted research on evaluation systems across Africa and is actively engaged in professional networks, including the Moroccan Evaluation Association.


Missed the session? 

You can access the recording here, and the presentations are available below.






Stay tuned for more thought-provoking discussions on the future of evaluation!

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