ABCs of KM
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AI-based KM features for knowledge retention and reuse [Generative AI & KM series part 4]
Knowledge retention and reuse KM processes where generative AI has augmented their experience.
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AI-based KM features for knowledge co-development and exchange [Generative AI & KM series part 3]
Knowledge co-development and exchange KM processes where generative AI has augmented their experience.
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AI integration strategy for learning and knowledge management solutions [Generative AI & KM series part 1]
A comparative study of 100 generative AI-based tools in the context of learning & knowledge management (KM).
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Introduction to knowledge graphs (section 5.3): Inductive knowledge – Graph neural networks
Graph neural networks (GNNs) support end-to-end supervised learning for specific tasks.
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Introduction to knowledge graphs (section 5.2): Inductive knowledge – Knowledge graph embeddings
How knowledge graphs can be encoded numerically for machine learning.
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Enriching climate change discourses with indigenous knowledge perspectives
Indigenous knowledge was an integral driver of how African communities dealt with a changing climate using their knowledge, values, intuitions,…
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Four approaches to shifting mindsets for decolonising knowledge
In the context of knowledge for development, what does it require to deconstruct the dominant narratives and personal privileges embodied…
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Clarifying knowledge withholding, hiding, and hoarding
A recent systematic review that has sought to clarify the concepts of knowledge withholding, hiding, and hoarding.
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How might generative artificial intelligence affect knowledge management theories?
ChatGPT and other generative AI tools can affect the most popular theories of knowledge management (KM).