Integrity is everything in Cyber Security. Some firms are now using AI detectors to verify that take-home assignments and reports aren't AI-generated. But with the high rate of false positives, are we actually compromising our hiring integrity by using flawed tools?
3 answers
In Cyber Security, we deal with "Zero Trust" architectures, and applying that to applicants via AI detectors seems logical but is technically flawed. Detection algorithms are easily bypassed by anyone with basic prompt engineering skills, meaning you'll catch the honest candidates who used AI for a quick spell-check while the sophisticated "cheaters" will use techniques to bypass the scan entirely. This creates a "security theater" in the hiring process. If you want to verify integrity, use timed proctored environments or deep-dive technical interviews where the candidate has to explain their logic in real-time.
Does anyone know if using a "rewrite" tool on human text makes it more or less likely to be flagged by these platforms?
The best way to check for AI usage is to ask the candidate to explain their work. The tool is just a distraction.
Exactly, Sharon. If they can't defend their methodology during the interview, it doesn't matter if a piece of software flagged them or not.
It's a toss-up, Edward. Some "humanizing" tools just swap words for synonyms, which can actually make the text look more suspicious to advanced AI detectors. The real problem is that the "baseline" for what is considered human writing is shifting every day. Relying on a tool that was trained six months ago to detect today's models is an exercise in futility and will only lead to more inconsistent hiring.