Vauhini Vara, who has for years been examining how artificial intelligence affects writing, published an article in The Atlantic over the weekend asserting that the victor of The Caine Prize relied on AI to compose his tale. Zimbabwean author Simbarashe Steyn Kundizeza won the 2026 Prize for his story “The Blue Fighter,” which appeared last year in The Shallow Tales Review.
This marks the third occasion this year that a major literary prize has been tainted by AI accusations: the Commonwealth Prize and the Prix Goncourt have also grappled with questions about non-human tools generating text.
Vara’s finding emerged after she submitted “The Blue Fighter,” along with Kundizeza’s earlier Caine Prize-winning work and other writings, to a program called Pangram that detects AI-generated material. The tool flagged almost the entire story as AI-generated. The Caine Prize team has responded and is reviewing the allegations, but plans to adopt a more human-centered process without relying on software. Ellah Wakatama, who chairs the prize’s board of trustees, told Vara:
“My stance, as the person who leads the prize, is that if there is such an accusation, I want proof that does not come from a machine.” She said she intended to approach Kundizeza with “compassion” and the presumption of honesty. Wakatama is also Zimbabwean. “As an African,” she said, “my first stance is, if I ask you, Are you telling the truth? and if you say yes, I am going to believe you—especially because the accusers are not coming from amongst our own people.”
That an accusation targets an African writer about a prize celebrating African writing has drawn attention and critique. The Caine Prize is “the foremost international literary prize for a short story by an African author,” and seeks to honor writers both on the continent and in the diaspora. Not to imply Vara is acting in bad faith, but there is a troubling history of bad actors weaponizing these kinds of claims against writers of color. One example is unfolding in France, where the Haitian-born Canadian novelist Thélyson Orélien has been accused of using AI in his latest novel.
Orélien has firmly denied the charges, but the controversy was quickly seized upon by the far right to discredit the non-white writer. Whether or not the accusations are true, the impact is already evident: Orélien was removed from the Prix Goncourt longlist and left France in the midst of his book tour. (The controversy also boosted his sales, which may be a silver lining.)
Even if you could find something interesting in this tech and its uses, the ugly complication is that too many AI boosters are also rich and powerful, and uninterested in compromise.
Another issue is that AI detectors are still not terribly reliable, which Vara highlights in her piece, citing several studies to bolster Pangram’s credibility. But these tools have shown particular fragility when evaluating writing from outside the dominant, white, Western canon. A Stanford study found that these detectors were especially poor with non-native English writing, for example:
While the detectors were “near-perfect” in evaluating essays written by U.S.-born eighth-graders, they classified more than half of TOEFL essays (61.22%) written by non-native English students as AI-generated (TOEFL is an acronym for the Test of English as a Foreign Language).
It gets worse. According to the study, all seven AI detectors unanimously identified 18 of the 91 TOEFL student essays (19%) as AI-generated and a remarkable 89 of the 91 TOEFL essays (97%) were flagged by at least one of the detectors.
AI has long been known to harbor racial and cultural blind spots. For years people have warned about facial recognition software—popular among law enforcement and militaries—failing to detect dark-skinned faces, for instance.
As a result, The Caine Prize’s investigation into Kundizeza’s claims will be conducted with a “human-centered approach ensuring that writers are supported and cared for during the process.” I believe this is the right decision. Beyond merely protecting the Prize’s integrity, the organization remains focused on its community of writers—and on their reputations as well. They view their role as a key part of an ecosystem that validates and supports the writing and publishing of African authors.
AI’s clouding of cultural waters is one of my principal frustrations with the industry and its boosters. This technology’s ubiquity has seeded doubt about the origin of any text, and I fear that erosion of trust will disproportionately affect writers from marginalized backgrounds. Vara spoke with former Caine-winner Tope Folarin, who stated, “There are a lot of writers from the global South who feel this extreme pressure to write to expectations so their work is legible to the West, and obviously chatbots have glommed onto that.”
All this doubt creates openings for bad actors, such as the French racists targeting Thélyson Orélien, to push their harmful narratives. But the opposite is also possible. AI evangelists can point to AI-generated prize-winning pieces as evidence that extruded text can stand beside human work. It’s a tension Vara has wrestled with. She has engaged with AI and published AI-generated writing before, including a viral Believer essay titled “Ghosts” in which she used ChatGPT to produce writing about her deceased sister, a topic she had struggled to address.
I do not find that to be a persuasive usage of generative software; pieces like Vara’s may legitimize AI text and create a permissive environment for writers who are less careful or talented than she is. And it’s already happening: as Vara reflected on “Ghosts” and its aftermath in a Wired piece titled “Confessions of a Viral AI Writer,”
“I thought I should feel proud, and to an extent I did. But I worried that ‘Ghosts’ would be read as my stake in the ground, and that people would use it to argue that AI-produced literature is viable. And soon, that happened. One writer cited it in a hot take with the headline ‘Rather Than Fear AI, Writers Should Learn to Collaborate With It.’ Teachers assigned it in writing classes, then prompted students to create their own AI collaborations. I was contacted by a filmmaker and a venture capitalist wanting to know how artists might use AI.”
The essay is worth reading, as she offers thought-provoking observations about her own experience and about broader shifts in AI and literary culture. Vara is a skilled writer with a commendable openness to the technology, but I find the stance she offers to be somewhat naive. AI centrists seeking a middle ground aren’t being frank about how extreme and uncontainable the pro-AI crowd has become.
I am increasingly uninterested in pursuing a middle path with this technology. AI maximalists are tedious and peculiar—consider the meme-worthy “parenting hits different when you work in AI” fellow who found ways to dodge actual caregiving. What good does it do to align with people who have so completely misplaced the conversation?
Even if there is something of value in the technology and its applications, the harsh truth remains that many AI promoters are wealthy and powerful, and resistant to compromise. The tech giants aren’t seeking consent or input, so any use of AI becomes less a choice and more a surrender.
While I admire Vara’s intellectual curiosity, my conclusion is that the responsible response to an industry rushing forward without reflection is to enlist as many people as possible to pull on the brakes.
