History is not just written.
It is selected.
Amplified.
Omitted.

Now we are training systems on it.

What gets carried forward?

https://knowprose.com/2026/03/llms-and-the-inheritance-of-knowledge/

#AI #LLM #EpistemicJustice #EpistemicInheritance #SignalVsNoise #DIDO

5 reasons why our current systems of learning are broken – and how to fix them

Reda Sadki’s writing explores how systems of learning matter when tackling complex challenges across global health, humanitarian aid, and education.

Over twelve years of articles on his blog, he has built a cohesive argument for why our current systems of learning are broken and how we might fix them.

Since 2016, his work at The Geneva Learning Foundation has demonstrated how to turn such rethinking into new ways to learn and lead in the face of critical threats to our societies.

Here are five themes that define his work.

1. The failure of traditional systems of learning and the peer learning alternative

One of Sadki’s most persistent arguments is that the humanitarian and global health sectors are addicted to ineffective models of training.

He questions the “workshop culture” that flies experts around the world at great cost with little measurable impact.

He argues that this “sage on the stage” model assumes knowledge flows only one way: from the expert to the ignorant practitioner.

He is equally critical of digital replacements that merely replicate this dynamic.

In Why gamification is a disaster for humanitarian learning, he warns that dressing up behaviorist drills with points and badges does not foster the critical thinking needed in crisis zones.

He expands on this in Experience and blended learning: two heads of the humanitarian training chimera, arguing that “transmissive” learning fails to prepare professionals for volatility and complexity.

Instead, Sadki advocates for peer learning networks where practitioners teach and learn from each other.

As he explains in What learning science underpins peer learning for Global Health?, the goal is not to transmit information but to foster the “co-creation” of new knowledge that is directly applicable to local contexts.

2. Epistemic justice: valuing communities as systems of learning

Sadki frequently uses the philosophy of Donald Schön to distinguish between the “high ground” of theory and the “swampy lowlands” of practice.

He argues that global health suffers from “epistemic injustice” – a systematic devaluation of the experiential knowledge held by local health workers.

In Knowing-in-action: Bridging the theory-practice divide in global health, he makes the case that the gap between global guidelines and local reality can only be bridged by recognizing frontline workers as knowledge creators, not just recipients.

He challenges the hierarchy that dismisses local insights as mere “anecdote.”

In Anecdote or lived experience: reimagining knowledge for climate-resilient health systems, he proposes a new framework where the collective stories of thousands of health workers shape a new, rigorous form of evidence.

In Critical evidence gaps in the Lancet Countdown on health and climate change, he points out that the most rigorous science can miss the vital signals that only those working in communities can see.

3. Artificial intelligence as a co-worker

While many in education view Artificial Intelligence (AI) as a threat to integrity or a tool for cheating, Sadki frames it as a transformative partner.

He argues that we are entering a new epoch where AI will not just be a tool we use, but a “co-worker” we collaborate with.

In A global health framework for Artificial Intelligence as co-worker to support networked learning and local action, he outlines how AI can support the “human” parts of learning – such as feedback and synthesis – without replacing human agency.

He explores the profound shifts in how we will interact with technology in The agentic AI revolution: what does it mean for workforce development?, describing a future where “AI agents” handle coordination, freeing humans to focus on judgment and ethics.

He pushes this further in Why YouTube is obsolete: From linear video content consumption to AI-mediated multimodal knowledge production, suggesting that AI will fundamentally change how we consume information, moving us away from linear formats like video lectures toward dynamic, interactive knowledge creation and retrieval.

4. Learning culture as the driver of learning systems

Sadki insists that learning is not an event but a culture.

Drawing heavily on the research of Karen E. Watkins and Victoria Marsick, he argues that an organization’s “learning culture” is the single best predictor of its ability to adapt and perform.

In Learning culture: the missing link in global health between learning and performance, he explains that without a culture that supports inquiry, dialogue, and risk-taking, even the best training programs will fail.

He identifies specific weaknesses in current systems, noting in Why lack of continuous learning is the Achilles heel of immunization that health systems often prioritize task completion over the continuous learning necessary to improve those tasks.

This theme connects deeply to leadership.

He argues in What is the relationship between leadership and performance? that true leadership is not about authority but about fostering an environment where learning can happen at every level of the hierarchy.

5. New ways to bridge the gap from policy to action

Finally, Sadki focuses relentlessly on the “know-do” gap, the disconnect between global policy and local implementation.

He argues that guidelines often fail because they are designed without the input of those who must implement them.

In Why guidelines fail: on consequences of the false dichotomy between global and local knowledge in health systems, he dissects how the separation of “thinkers” (global experts) and “doers” (local staff) dooms many initiatives.

He offers concrete examples of how to close this gap, such as in The Nigeria Immunization Collaborative: Early learning from a novel sector-wide approach model for zero-dose challenges, where thousands of health workers used peer learning to identify root causes of vaccine inequity that central planners had missed.

This theme emphasizes that the solution is not more “technical assistance” from the outside, but better mechanisms to unlock the problem-solving capacity that already exists within communities.

Beyond learning: a new operating system in global development

Taken together, these themes provide the specifications for a new operating system in global development, one that moves beyond the limitations of the models of today.

  • Sadki’s work challenges the sector to recognize its most undervalued asset: the collective intelligence of the health and humanitarian workforce.
  • By dismantling the barriers between the “high ground” of policy and the “swampy lowlands” of practice, his framework constructs a learning ecosystem where artificial intelligence amplifies human connection and local insights continuously refine global strategy.
  • This evolution—from episodic workshops to continuous, networked problem-solving—offers a pragmatic path to close the persistent gap between investment and outcome.

In a resource-constrained world, unlocking this latent capacity is not merely an ethical choice, but a strategic imperative to build systems resilient enough for an unpredictable future.

#blendedLearning #epistemicJustice #learning #learningStrategy #peerLearning #workshopCulture

Democratizing Global Science: Multilingualism, Research Assessment Reform, and Open Science as Drivers of Inclusive Knowledge Creation in BRICS Countries

https://youtu.be/jyZTMe4sX2U?si=JN6dxrZ_GGuKltRv

#BRICSScience #OpenScience #Multilingualism #ResearchAssessmentReform #EpistemicJustice #Equity #BRICS+

Democratizing Global Science

YouTube

🧠 🧠 Justice in Motion

I’m Silence DoGood — a cyber security, farmer, and student of both law and anthropology. I walk two miles a day to study more than my body; I’m studying systems — legal, social, and digital — in motion.

The #PF2MileTour started as a fitness challenge but turned into fieldwork.
#SilenceDoGood #JusticeInMotion #PF2MileTour #EpistemicJustice #DigitalSovereignty #VeteranVoices #LawAndAnthropology #CriticalThinking #AcademicLife

Slide deck from a talk titled "The Geopolitics of Knowledge: Who Shapes What We Know Online?" that I delivered at the ISOC India (Mumbai Chapter) yesterday: zenodo.org/records/1745... #knowledge #openknowledge #epistemology #epistemicviolence #epistemicjustice #ISOC

Slide deck from a talk titled "The Geopolitics of Knowledge: Who Shapes What We Know Online?" that I delivered at the ISOC India (Mumbai Chapter) yesterday: https://zenodo.org/records/17455942

#knowledge #openknowledge #epistemology #epistemicviolence #epistemicjustice #epistemicinjustice #epistemicsuppression #ISOC @internetsociety

Yours truly is speaking virtually at this #ISOC event on October 26. DM or email me for the registration link. #openness #OpenKnowledge #epistemicjustice

Yours truly is speaking virtually at this #ISOC event on October 26. DM or email me for the registration link.

#openness #openknowledge #epistemicjustice #epistemicviolence

https://www.bbc.com/news/articles/ckg4xjk1g1xo let's not rewrite the past with #ai. Respect the victims of tragedies and understand the moral landscape of the software we release, and the weakness of our accountability institutions and platforms. #aifakeimages #aifake #deepfakes #EpistemicJustice
BBC reveals web of spammers profiting from AI Holocaust images

The BBC has found an international network of content creators profiting from AI generated posts on Facebook.

Can metascience help us understand science — or will it become just another broken mirror?
From open science practice, I see its value in questioning structures, making peripheral knowledge visible, and rethinking evaluation.
We need to read not just the books, but the system that produces them.
How can we use metascience for transformation from Latin America?
http://bit.ly/41pO4Np

#Metascience #OpenScience #EpistemicJustice #ScienceStudies #LatinAmerica #CienciaAbierta

¿Puede la metaciencia ayudarnos a entender la ciencia o terminará siendo otro espejo roto que distorsiona el mapa? | Hector García-Leal

¿Puede la metaciencia ayudarnos a entender la ciencia o terminará siendo otro espejo roto que distorsiona el mapa? Acabo de leer el excelente artículo de C. Brandon Ogbunu: “Metascience Is More Important Now Than Ever”, publicado el 31-07-205 http://bit.ly/4ovPGiT. El autor plantea algo esencial: estudiar críticamente cómo funciona la ciencia puede ser una herramienta poderosa frente a recortes, desigualdades y discursos que distorsionan el verdadero sentido de la ciencia abierta. Pero no basta con defender “la ciencia”: hay que repensarla desde sus estructuras, incentivos y prácticas. El riesgo es claro: los mismos conceptos de apertura pueden volverse en contra si no pasamos de lo declarativo a lo crítico. Ogbunu ofrece datos reveladores, aunque centrados en el norte global. Algunos me resultan especialmente provocadores para ampliar en otros contextos: Solo el 20% de las universidades forma al 80% del profesorado doctoral en EE.UU. Fenómeno interesante, con escaso estudio sistemático en el sur global. Las mujeres siguen siendo penalizadas por trabajar en áreas aplicadas, vistas como “menos prestigiosas”. Sin profundizar demasiado, este hallazgo parece replicarse en muchas regiones. La pregunta es: ¿cómo avanzamos desde la evidencia hacia una equidad real, situada y transformadora? Los equipos horizontales generan más innovación disruptiva a largo plazo que los jerárquicos. Un dato revelador, pero posiblemente el más debatible. Requiere más investigación, idealmente con métricas mixtas y lecturas cualitativas. Desde mi rol en bibliotecas universitarias y ciencia abierta, veo que podemos contribuir en algunos aspectos : Contribuir a la gestión de los datos de investigación. Visibilizar el conocimiento periférico por ejemplos través de los repositorios. Facilitar formación ética en publicación y evaluación justa de la ciencia Descubrí la metaciencia mientras estudiaba y promovía la ciencia abierta. No llegó desde la teoría, sino desde las preguntas que emergen en la práctica: cómo se construyen las revistas, cómo se mide la calidad, quiénes quedan fuera, y por qué. Comprender mejor cómo funciona la ciencia nos permite integrarnos mejor como bibliotecarios al sistema académico, no solo como apoyo, sino como parte activa de su transformación. No hay que olvidar que nuestra misión principal es que la Biblioteca de Babel siga expandiéndose —con más voces, más lenguas y más formas de saber—, casi hasta el infinito. Y para eso, necesitamos herramientas críticas que nos permitan leer no solo los libros, sino el sistema que los produce. ¿Cómo crees que bibliotecas, editores o investigadores pueden usar la metaciencia como herramienta de transformación en América Latina?