Three of the five winners of one of the UK's most prestigious literary awards are suspected of having submitted books written by AI, as detectors cannot distinguish human from machine, and writing too well has become a reason for suspicion.

Three of the five winners of one of the UK’s most prestigious literary awards are suspected of having submitted books written by AI, as detectors cannot distinguish human from machine, and writing too well has become a reason for suspicion.

Written by Maria Heloisa Barbosa Borges

Published on 30/05/2026 at 17:32

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Why detectors do not identify books written by AI

Text detectors like ZeroGPT and Grammarly work by identifying statistical patterns that differentiate human writing from artificial writing. The problem is that these patterns are inconsistent. Detectors have already classified fragments of the Bible and renowned works of Spanish literature as books written by AI, while texts proven to be generated by artificial intelligence pass through the same detectors as 100% human.

The technical reason is that language models like ChatGPT and Claude do not actually write: they calculate, word by word, what the next most likely word is given the previous context. This produces coherent, well-structured, and grammatically impeccable texts, but also flat and predictable. The detectors try to identify this predictability, but a human who writes well and with correct structure ends up being penalized for the same reason: technical and clean writing looks like books written by AI, even when it is not.

The paradox of writing too well

Writing correctly has become a reason for suspicion in a world where AI detectors penalize accuracy. 100% human texts are detected with up to 80% probability of having been generated by AI when the writing is technical and well-structured, according to reports from academics who use these systems in universities.

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How books written by AI pass through competitions

The submission process for the Commonwealth Prize, like that of many literary competitions, relies on self-declaration. Authors confirm that the work is original and unpublished, and judges evaluate the literary quality without using detection tools. Granta stated that “it does not use AI systems at any stage of the evaluation process,” including because submitting unpublished works to an AI system would raise “serious questions about consent and intellectual property.”

This approach leaves the door open for books written by AI to enter competitions without being detected. If the author declares that the work is original and no tool can reliably prove otherwise, the system relies entirely on the participant’s honesty. And when the author themselves can be an AI-generated profile, as the case of the Commonwealth Prize suggests, even the human identity of the writer becomes questionable.

What is at stake when books written by AI win awards

The awarding of books written by AI in literary competitions is not just a technical issue, it is an artificial intelligence problem that affects the credibility of the entire publishing industry. Writers who dedicate months or years to a work compete against machines that produce texts in seconds, and if judges cannot distinguish one from the other, the incentive to write honestly diminishes.

For the reading public, the question is whether the origin matters when the result is indistinguishable. For writers, the answer is unequivocal: it matters, because literature is not just correct text, it is experience, intention, and humanity. The issue that no one has managed to solve so far is how to ensure this distinction when even artificial intelligence itself cannot identify what it has written.

Would you read a book knowing it was written by AI? Do you think literary awards should require proof of human authorship or is the quality of the text what matters? Tell us in the comments.

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Three of the five winners of one of the UK’s most prestigious literary awards are suspected of having submitted books written by AI, as detectors cannot distinguish human from machine, and writing too well has become a reason for suspicion.

Why detectors do not identify books written by AI

The paradox of writing too well

How books written by AI pass through competitions

What is at stake when books written by AI win awards

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Three of the five winners of one of the UK’s most prestigious literary awards are suspected of having submitted books written by AI, as detectors cannot distinguish human from machine, and writing too well has become a reason for suspicion.

Why detectors do not identify books written by AI

The paradox of writing too well

How books written by AI pass through competitions

What is at stake when books written by AI win awards

In the cold desert of Ladakh, where it hardly rains, engineer Sonam Wangchuk created the ice stupa, a tower that freezes winter water and stores it for irrigating crops in the spring, a simple engineering feat that mimics nature.

Libya built over 4,000 kilometers of underground pipelines to bring water from the Sahara to coastal cities in a project that the government itself called the Eighth Wonder of the World.

Chinese woman planted trees for decades while sand buried part of her house, received $5,000 from an American in 1999, and helped transform the desert into a forest of 8 million trees in China.

Almost 6,000 residents live concentrated along a single street nearly 9 km long in the interior of Poland. Houses form a continuous row, and behind them, narrow agricultural strips emerge, creating one of the most unusual rural patterns in Europe.

Desert sand, previously discarded for being too smooth for concrete, becomes an ecological brick in the United Arab Emirates, dispensing with Portland cement, curing at room temperature, and attempting to transform dunes useless for construction into raw material for a new arid engineering.

Described by astronauts as one of the most unlikely natural phenomena on Earth, the Okavango Delta spreads over up to 15,000 square kilometers in the middle of the desert and transforms Botswana into a living labyrinth of channels, islands, and flooded areas.

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