Can You Spot a Deepfake in a Job Interview?
Dawid Moczadło, cofounder of data security firm Vidoc Security, was interviewing a software engineering candidate online with video. The conversation seemed normal at first. The candidate answered technical questions confidently. His resume looked solid.
Then Moczadło noticed something odd. As the candidate moved, his screen started to glitch. The edges of his face blurred. His facial features looked slightly out of sync with his words, like a sophisticated Snapchat filter was failing in real time.
Moczadło asked the candidate to hold his hand in front of his face. The candidate ignored him and kept talking. He asked again. Still ignored. Moczadło ended the interview.
It was a deepfake. The entire "candidate" was AI-generated, hiding someone else's true identity.
And this is just the beginning.
According to a recent Resume Genius survey, 17% of hiring managers have already encountered candidates using deepfake technology in video interviews. At Pindrop Security, executives reviewed 827 applications for a software developer role and discovered that approximately 100 were attached to fake identities. The FBI has documented over 300 US companies that unknowingly hired operatives using stolen identities and AI-generated personas.
Here's the problem AI cannot solve:
Jesus once said that Satan cannot cast out Satan, because a kingdom divided against itself cannot stand. The same principle applies here. AI cannot reliably expose AI deception.
Why? Because AI doesn't understand what it does wrong. It follows patterns. It optimizes for outcomes. But it lacks the discernment to catch the subtle signals that something isn't right.
According to Harvard Business Review's recent trends report, employers are caught in a candidate fraud arms race. Candidates use AI to generate perfect applications. Companies deploy AI to screen them out. Fraudsters use better AI to slip through. Companies add more sophisticated AI detection. Round and round it goes.
Meanwhile, AI screening tools miss the human signals that matter. A Gartner survey found that 39% of candidates now use AI in applications. And 6% admit to using deepfake technology in interviews. By 2028, Gartner predicts one in four candidate profiles will be fake.
What AI misses that humans catch:
The glitch in the video when someone moves unexpectedly. The split-second delay between words and lip movement. The unnatural stiffness in facial expressions. The candidate who refuses simple requests like waving their hand. The inconsistencies in a story when you dig deeper with follow-up questions.
These are the nuances of discernment. And no algorithm can teach them. Only trained humans can spot them.
This isn't just about avoiding fraud. It's about how to avoid bad hires entirely. When you train your managers how to hire better, they learn to assess not just credentials, but authenticity. Character. Presence. The intangibles that separate real talent from fabricated profiles.
Great leaders hire great people. And they do develop their people’s ability to know when something doesn't add up.
According to employee hiring best practices, the best defense against deepfakes isn't more AI. It's trained human discernment at every stage of your process. Employee skills developed to have real conversations online and in-person interactions when possible. Follow-up questions that test for consistency. Multiple interviewers comparing notes.
Train discernment BEFORE mistakes are made.
Don't wait until a fake candidate slips through your process and compromises your systems.
Don't discover too late that the person you hired isn't the person who interviewed.
Hiring skills are the key to team member cohesion because what people learn to discern about others continues on as they work together.
Work with a Hire the Best coach to train your managers and team members how to catch the nuances of real people meeting you to discuss an opening versus AI-generated imposters trying to infiltrate your organization.
Learn how to hire the right people by mastering the human skills that technology can't replicate.
Don't get fooled. Get trained.
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