Artificial intelligence
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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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AI resources update: 1. Guidance for Risk Management of AI systems | 2. AI Risk Mitigation Taxonomy
Two new resources to assist the implementation of ethical and responsible AI in KM.
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AI can boost creativity, but only if we think before we prompt
Metacognitive skills – knowing how to think about thinking – may be just as important in a world where AI…
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Factors supporting and hindering effective human-AI collaboration in knowledge ecosystems
An integrative framework to assist organizations with the effective adoption of artificial intelligence (AI).
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OpenAI’s Atlas browser promises ultimate convenience. But the glossy marketing masks safety risks
If you want to try Atlas, the advice is straightforward: extreme caution.
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Are “dyslexic thinking skills” key in the age of AI?
A global charity and a major recruitment firm argue it’s time to move away from traditional credentials and focus instead…
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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.
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How generative AI is really changing education – by outsourcing the production of knowledge to big tech
Generative AI systems are fundamentally changing our relationship with knowledge: how we produce, understand, and use knowledge.
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Bruce Boyes’ presentation to KM Trends 2026: Two very different scenarios for AI in KM
One scenario for the future of AI in KM presents a bad outcome, and the other a good outcome.
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In the know: 1. Congratulations Ginetta Gueli and Professor Luna Leoni! 2. New Club of Paris
In the know is a regular roundup of knowledge management (KM) items of interest.
