large language models
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Artificial intelligence
Disgraceful AI acts are growing. Will the knowledge management community be next?
The beneficial use of artificial intelligence (AI) is being seriously hampered by a continuing saga of disgraceful AI acts.
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Artificial intelligence
Study shows the growing share of AI-generated content online
A study from Stanford University finds that nearly one in six corporate or government texts now shows signs of AI…
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Artificial intelligence
Are chatbots widening the digital language gap?
Research finds that today’s AI chatbots are "faux polyglots" that mimic fluency across languages but fail to integrate perspectives.
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Artificial intelligence
Learning with AI falls short compared to old‑fashioned web search
When people rely on LLMs to summarize information, they tend to develop shallower knowledge compared to learning through a standard…
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Artificial intelligence
Data governance practices for using RAG in generative AI-powered information systems supporting knowledge management (KM)
Research findings suggest a strong link between data governance practices and information system success across three quality dimensions.
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Bridging the research-practice gap
Emerging sovereign systems: global examples of indigenous knowledge machine language models [Forum special series, Artificial intelligence]
KM Triversary Forum 2025 presentation article by Elizabeth (Liz) McLean.
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Artificial intelligence
Using GraphRAG to enhance LLM-based information retrieval supporting knowledge management (KM)
Researchers evaluate the potential of artificial intelligence (AI) graph retrieval-augmented generation (GraphRAG) using the case study of the information challenges…
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Artificial intelligence
Neurosymbolic AI is the answer to large language models’ inability to stop hallucinating
To make neurosymbolic AI fully feasible, there needs to be more research to refine their ability to discern general rules…
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Artificial intelligence
Responsible AI case study: integrating advanced language models with validation by domain experts
A law resources case study supports the need for 'humans in the loop' to validate AI outputs before they're used.
