The recruitment of the state’s fire station leaders is in turmoil after dozens of candidates were disqualified for using artificial intelligence in more than 50 per cent of their applications, only to be reinstated after they protested against the decision.
The saga has outraged applicants who have been put back into the station officer pool with candidates suspected of cheating, and has thrown the spotlight on the growing perils of artificial intelligence (AI) screening across the recruitment and education sectors.
Dozens of applicants for leadership positions with Fire and Rescue NSW used AI to complete their applications.Credit: Artwork: Matthew Absalom-Wong
Fire and Rescue NSW Chief Superintendent Ross Genders wrote to dozens of candidates to tell them they remain in the hunt for some of the state’s top fire jobs, after they protested at their AI disqualification last week.
AI technology can be used to write résumés, application letters and personalised responses by submitting keywords to generate answers to questions.
“After careful consideration with the company Turnitin, FRNSW has decided that applications which were not progressed due to exceeding the AI-usage threshold will now be reassessed by the selection panel,” Genders wrote.
One applicant, who asked to remain anonymous to speak freely about internal recruitment processes, said 25 candidates had “either been unfairly treated, or cheats have been let through”.
“Where is the integrity in this process? There is no accountability,” they said. “It’s just a shit outcome.”
Fire and Rescue NSW Chief Superintendent Ross Genders. Credit: Rhett Wyman
Station officers lead teams of firefighters, exercise operational command, and run training and community outreach. The rank is considered a key stepping stone to the executive in charge of running fire operations across the state.
“These are the leaders of tomorrow; they are meant to be people managers,” the applicant said.
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But their capabilities have been thrown into doubt after Turnitin software found that some had used AI for more than 50 per cent of their applications.
Candidates were warned multiple times, including by text message, that their applications would be screened for AI.
While 50 per cent was the benchmark FRNSW set for elimination from the selection process, the actual rate of AI use in the applications could be much higher.
In its advice to candidates, FRNSW said that if Turnitin identifies that 50 per cent of a document is probably written by an AI tool, it could contain as much as 65 per cent AI writing.
“This is the first time FRNSW has used an AI integrity checker in recruitment,” Genders wrote in an earlier email, announcing the introduction of the AI screening software.
“Following extensive research and consultation with educational institutions and organisations experienced in this technology, Turnitin was selected for its proven reliability and accuracy compared with other systems assessed.”
But the FRNSW controversy is not the first time Turnitin has faced questions about its reliability.
In March, students at Australian Catholic University claimed it had wrongly accused them of using artificial intelligence. Curtin University announced in September that it was disabling the Turnitin tool.
Advance Publications acquired the US-based multinational for $US1.75 billion ($2.6 billion) in 2019. Turnitin did not respond to requests for comment.
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On its website, Turnitin states that its writing detection model may not always be accurate: “it may misidentify human-written, AI-generated, and AI-generated and AI-paraphrased text, so it should not be used as the sole basis for adverse action”.
Genders told candidates he understood the process may have been “disappointing and frustrating”.
“While this approach was well-intentioned and supported by consultation with the [Fire Brigade Employees Union], the trial has highlighted inconsistencies in how AI usage was detected and interpreted,” he said.
A spokesperson said FRNSW was satisfied with the outcomes of the recruitment process.
“FRNSW is committed to maintaining a fair, transparent and merit-based selection process for all applicants in accordance with established recruitment guidelines and policies,” they said.
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