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Duncan Stephen

Human-centred decisions

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Tag: Large language models

Article — 26 May 2026 — 3,473 words

Grounding AI the webby way — Taxonomy Boot Camp London 2026 takeaways

Business — Information architecture — Technology — Web

Work: Scottish Government

Conference attendees mingling in a room

There was a heavy focus on artificial intelligence. But what really struck me was that the semantic approaches that are preparing us for our AI future are well-established web standards that have been around for decades.

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Article — 21 May 2026 — 1,127 words

From answer engines to learning engines — Why fast answers are like fast food

Information architecture — Social science — Technology — User experience

Two large white boxes spanning across the width of the image, one taller than the other below it

People crave fast answers. But the purpose of information systems is to help people gain knowledge. So we should seek better questions.

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Article — 23 February 2026 — 3,133 words

Words and pictures in the history of user experience and the future of artificial intelligence

Society — Technology — User experience

ASCII art of the sparkles emoji, representing a text-based artificial intelligence interface

Modern artificial intelligence tools are largely rooted in text-based interactions. But the history of user experience, information and even humanity shows us that AI will have to go beyond text if it’s going to become relevant.

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Article — 2 May 2025 — 1,271 words

Keeping it real in the age of artificial intelligence

Society — Technology

Abstract image of concentric circles, varying shades of grey and teal against a dark background

Amid technology-focused hype cycles, the job of human-centred practitioners is to remind everyone: the main reason people use technology is to enhance our connections with other humans in the real world.

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