Artificial intelligence
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Three key strategies enabling artificial intelligence to bridge inequities
How can AI be used to reduce rather than perpetuate inequalities?
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AI resources update: 1. GenAI Concepts 2. MITRE AI Maturity Model 3. The AI Tech Stack
Three key resources that can assist organisations to deploy AI in a well-planned and well-organised way.
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Evolvable AI: are we on the brink of the next major evolutionary transition?
Evolution just needs information that can replicate, and a source of variation that affects how successfully the information replicates.
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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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What form should AI-driven advice take?
AI advice typically falls into either attention signals, which highlight importance without necessarily offering a recommendation, or an action signal,…
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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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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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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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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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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.
