One of the highlights was the keynote address by Dr. Philippa Hardman, “How Latest AI Innovations Boost Human Learning?” Her presentation challenged participants to look beyond the novelty of AI tools and consider their actual contribution to learning outcomes. One message stood out: AI needs us, too. AI does not automatically lead to better learning. Its effectiveness depends on how thoughtfully it is applied, with human needs, clear learning objectives, and meaningful engagement at the center. Interactive sessions continued the discussion through practical examples of AI applications in learning and development. Participants exchanged institutional experiences and explored how AI could contribute to learning content design, learner support, and monitoring and evaluation.

The meeting also focused on measuring the impact of learning initiatives. Through collaborative exercises and group discussions, participants explored how to design impact measurement frameworks, identify relevant indicators, and assess whether learning translates into changes in professional practice and organizational performance. The discussions highlighted a shared challenge for development institutions: going beyond participation figures and immediate feedback to understand what learners apply in their work and what changes as a result. Participants also considered opportunities to use AI in monitoring and evaluation and identified areas for further exploration and collaboration.

For CEF, the meeting was an opportunity to learn from peers, challenge established approaches, and exchange ideas on strengthening learning practices. The discussions reinforced the importance of connecting innovation with clear objectives, effective knowledge-sharing, and systematic follow-up.