AI content surge strains editorial staff
For more than half a century, the Boston Review has offered writers a space to explore complex issues beyond surface-level journalism. But lately, the journal's editorial team has been overwhelmed. This year, in just the first half, the publication received three times as many submissions as it did during the same period in 2023. Matt Lord, the executive editor, has voiced concerns that this surge is not due to a growing interest in thoughtful analysis. Instead, he suspects it is the result of AI-generated texts overwhelming the editorial process. The Boston Review typically receives between 500 and 700 manuscripts a year. Now, with this sharp spike in submissions, the editorial staff must rethink how to handle the influx without compromising quality.
Lord explains the situation clearly: “Practically speaking, there’s no world in which we can continue reading every single submission closely and not make faster judgments in some cases.” This change in editorial workflow is a sign of broader challenges. Many publications with small teams are facing similar hurdles. As Lord noted, editorial rigor must now be balanced with practical limitations. The rising volume of content is forcing editorial teams to reconsider how they evaluate and process manuscripts efficiently.
Line between human and machine blurs
Across academic and literary journals, editors are finding it increasingly difficult to distinguish between work written by humans and that produced by artificial intelligence. Bill Pierce, the editor of AGNI, argues that embodied human experience is a unique human strength. “AI simply cannot convey the depths of what a person can,” he says, emphasizing that lived experiences and emotions are essential to meaningful writing. He sees the challenge as an ongoing battle to preserve authenticity and nuance in writing, especially in an era where AI tools are becoming more prevalent.
In a different view, Dr. Eric Rubin, editor-in-chief of the New England Journal of Medicine, finds value in AI for specific purposes. He suggests that AI can help non-native English speakers write clearer scientific articles. However, he firmly believes that AI-generated opinions do not belong in the publication. Rubin points out the benefits of AI in improving the clarity and readability of scientific content, particularly for researchers whose first language may not be English. Still, he stresses that for opinion pieces and editorials, the human voice is irreplaceable. AI-generated perspectives, he argues, lack the personal insight and critical thinking required for meaningful discourse.
Ethics and policies in a machine-assisted age
Policymakers and editors are grappling with how to regulate AI usage in publishing. MIT Press, for instance, requires transparency in how authors use AI and prohibits AI models from being listed as authors. Despite these guidelines, the journal continues to receive submissions that appear to have been produced with AI assistance but are not properly disclosed. Nick Lindsay, the MIT Press director of journals, shared that he has observed authors submitting as many as five papers in a single day, which is an alarming and unusual volume. This surge raises both ethical and logistical concerns, especially for journals with limited editorial capacity. Lindsay describes it as a significant problem, as each submission carries a cost and requires careful evaluation.
Each submission costs the publisher between $10 and $32. While some publications struggle with this issue, others, like the Yale Law Journal, are taking a more open approach. They require writers to disclose how they used AI but do not disqualify work based solely on AI use. Lindsay noted that enforcing these rules remains difficult, especially when authors fail to disclose their use of AI. This problem is not unique to MIT Press, as many other publishers are encountering similar difficulties in managing the influx of AI-assisted content.
Recent scandals highlight these ethical dilemmas. The New York Times ended its relationship with a freelance reviewer after discovering that the person had used AI to help write a book review. In another case, an author of a prize-winning short story in a British Commonwealth competition was accused of using AI to produce the story. AI-generated books are even flooding Amazon and appearing in bookstores. These incidents reveal the broader debate over the ethical use of AI in content creation. While some publications embrace more flexible policies, the challenge remains to balance innovation with the need to preserve authenticity in the AI-driven world.