Who Will Edit AI?

Imagine a newspaper office ten years from now. At 10 am, the editor arrives with his coffee. Before he takes the first sip, his AI assistant announces: “Good morning, Sir. I have selected the top stories, rewritten 63 reports, checked 1,173 facts, suggested 127 headlines, and prepared your editorial.”
The editor looks impressed. Then comes the final sentence. “I have also analysed your productivity. You took eleven minutes to finish yesterday's coffee.”
“Excellent,” the editor mutters. “Tomorrow, it may recommend my retirement.”
Well, the joke may not be entirely futuristic. Artificial intelligence is already changing newsrooms. But if machines can write, rewrite and recommend news, a more important question arises: Who will edit AI?
AI can summarise documents, transcribe interviews, translate reports, correct grammar and generate headlines in seconds. The Associated Press (AP) permits several such uses, subject to journalistic review and verification. Its standards keep editorial judgement and accountability with human journalists.
Journalism is not simply the art of arranging words. It is the responsibility of deciding which words deserve to reach the public.
A minister criticises an opponent. An AI tool proposes the headline, “Minister Attacks Opposition.” An editor pauses. Was it an attack, a rebuttal or a perfectly ordinary political disagreement inflated into a verbal boxing match?
Machines can produce sentences. But editors must understand their implications.
Consider a breaking-news situation. A video appears to show a prominent leader making an inflammatory statement. Within minutes, it is circulating on social media. An AI system summarises the video, generates a headline and drafts a report. Everything looks professional. Alas, the video is a deepfake!
AI can make falsehoods sound authoritative because fluency and truth are not the same thing. A fabricated quotation does not become authentic merely because it is presented in impeccable English. Putting a silk tie on a bull does not turn it into a gentleman.
This is why verification must precede publication. Who originally shared the video? Is the source credible? A responsible editor asks these questions before the rumour acquires a newspaper's trust.
Also, AI can reproduce biases embedded in the information on which it was trained. A report may appear objective while quietly reflecting a distorted picture of society. A human editor must examine not only what the machine says, but also what it overlooks.
The editor’s most valuable word may increasingly be “No”. No, the source is unreliable. No, the headline is sensational. No, the photograph is inappropriate. These refusals could save it years of credibility.
Say, an editor rejects 99 of 100 headlines generated by AI. The machine asks, “Why did you reject so many?”
“Because,” replies the editor, “you were optimising for clicks. I was trying to avoid complaints from lawyers, readers and the truth.”
The distinction is not that humans are often right. Editors make mistakes, harbour prejudices and sometimes mistake confidence for wisdom. Human oversight must therefore be rigorous. Merely asking a person to approve an AI-generated report without checking it is like asking a traffic policeman to supervise a signal while wearing a blindfold.
Editor 2.0
The future editor may spend less time correcting commas and more time questioning algorithms. Less time shortening paragraphs and more time examining sources, bias, and context.
AI can be an excellent assistant, provided it remains an assistant. It can widen the range of possibilities, but it should not automatically determine which possibility becomes public truth.
Readers, too, have a role. In an age of synthetic photographs, fabricated voices and instantly generated explanations, a little scepticism is a healthy habit. The first version of a story is not necessarily the truest. The most popular version is certainly not always the most reliable. When information becomes abundant, credibility becomes scarce. When content becomes cheap, judgement becomes expensive. Technology may reduce the newsroom tasks, but responsibility cannot be delegated to a machine and forgotten.
Returning to our newsroom, the AI assistant produces another hundred headlines. The editor examines them, rejects a few, corrects several and finally approves one.
“Anything else, Sir?” asks the machine. “Yes,” says the editor, reaching for his coffee. “Next time, check the facts before checking my productivity.”
Perhaps that is the future of journalism in one sentence: let machines improve the speed of the newsroom, but never allow speed to become a substitute for judgement. And if AI eventually learns to write editorials, one question will still deserve a human answer: Is it true?
(The writer is a retired banker and author. Views personal.)






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