ethical AI
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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
South Africa’s AI policy cited fake research, created by AI: what lessons need to be learned
The incident is being treated as an embarrassment. It’s something more serious: a failure of the very standards the revised…
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Artificial intelligence
It’s tempting to offload your thinking to AI. Cognitive science shows why that’s a bad idea
Flippantly offloading your knowledge acquisition and storage to external sources such as ChatGPT can have an impact on your critical…
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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
Using your AI chatbot as a search engine? Be careful what you believe
Because of the way generative AI works, there is no real way to prevent false information being presented as truth…
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Artificial intelligence
AI can slowly shift an organisation’s core principles. How to spot ‘value drift’ early
Responsible AI is not about freezing values in place. It is about staying responsible as values shift.
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Artificial intelligence
Using neuroscience to help human knowledge contribute to AI safety
Eight proposals for how neuroscience can help human knowledge benefit AI safety.
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Artificial intelligence
AI is already human-centred, and maybe that’s the problem
A recent paper casts doubt on the current focus of the human-centred AI (HCAI) movement.
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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
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.
