Use of AI in Training at APHRC
AI is becoming an increasingly important part of our work. From research and data analysis to content development, writing, and everyday productivity, there are many ways it can support what we do including how we teach, train, and facilitate learning. As educators and trainers, we have a unique opportunity to explore how AI can enhance our teaching practice, enrich learning experiences, and strengthen the capacity of those we train.
Let us learn from each other:
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Where do you think AI could have the biggest impact on teaching and training at APHRC?
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What AI tool have you tried, and how did it support your work as an educator or trainer?
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Share one AI use case you would like to explore in your teaching, training, or facilitation.
Bivon frames the question well.
The biggest impact of AI in teaching and training at APHRC is not efficiency but epistemology. AI forces us to rethink what counts as knowledge, who produces it, and how it is validated.
For Purpose Rwanda, where we train peer educators from lived experience of substance use and recovery, the risk is automation replacing contextual wisdom. The opportunity is augmentation. Where I see greatest value is in three areas.
First, adaptive learning design where AI helps tailor case studies to different literacy levels without diluting scientific accuracy.
Second, reflexivity where AI can surface bias in our training materials and push us toward more inclusive language and evidence.
Third, co-creation where trainees use AI as a thought partner rather than an answer machine.
I have used AI for evidence synthesis and scenario based facilitation guides, and the lesson is clear: it saves time on
structure but demands more rigor on truth and ethics. The use case I want to explore is AI assisted participatory curriculum review, where community voices and research evidence are placed in dialogue, and AI helps map contradictions rather than hide them.
If APHRC trains for transformative change, then AI should not make teaching faster, it should make it deeper, more critical, and more human centered.
Thanks for sharing these insights! You have hit on something crucial shifting AI is role from a "grader" to a formative thinking partner is where the real leverage lies, especially when facilitators are managing large cohorts or complex field programs.