How To Detect Deepfake Resumes Using AI? (New Ways)

It is possible to detect deepfake resumes using AI. Deepfake resumes can be a challenge for recruiters but AI can help them spot deepfakes in interviews and hiring a right candidates.

A study by Pindrop revealed that deepfake job candidates are actively infiltrating businesses today. Gartner predicts that by 2028, one in four candidate profiles worldwide will be fake.

Your business required skilled and passionate candidate that can bring out most and contribute business growth. Hiring a non-professional candidate that simulate deepfake resume and content with fake work experience, past project, etc could bring negative things in your business.

Therefore, AI can help detect deepfake resumes and help recruiters hire right candidate confidently. Learn new ways to spot deepfake interviews in this blog.

What Is Deepfake Resume?

Deepfake resume often related to fraudulent or misleading job applicants that use AI-generated content to trick employers. Deepfake resume can be in form of both paper and digital.

In the context of paper, job applicants may use tools like ChatGPT to create resume to fabricate past roles, skills, or achievements including claiming fake degrees or certifications.

While in digital form, candidates use deepfake video or audio to impersonate another person during video interviews.

Example Of Deepfake Resume

I have shared an image that resonate deepfake resume. You can see marked elements that rectify deepfake content. Now the questions is what can actually fake using deepfake AI service.

Entire Work History

Indeed, candidates may list fake roles at real companies to appear experienced, but such claims are hard to verify without internal HR checks due to rigid hiring processes.

Education

It can be possible that candidate used an AI tool to generate a fake diploma or education scripts. By mentioning fake university or institution name.

Certifications

The claimed CISSP and CEH certifications don’t exist in the official databases.

Live Interview

The candidate conducted the video interview with altered voice and a synthetic avatar overlay on video.

5 Tips To Spot Deepfake Resumes

Incorporate these following five practical tips to detect deepfake resumes using ai and avoid hiring fraudulent candidates.

1. Verify Employment History with Direct Employer Contact

Contact previous employers using official company contact details, not the references listed by the applicant.

2. Check Certification and Education with Official Verification Tools

Use databases like ISC² Verification for CISSP and EC-Council for CEH. You can also consider university alumni or degree verification services.

3. Look for Overly Generic or AI-Generated Language

AI detectors such as GPTZero or Originality AI help in analyzing text for AI-generated content. Check for overuse of buzzwords without substance and generic job duties not tailored to specific companies.

4. Assess Online Presence and Identity

You can search them online on search engine, Google the candidate’s name, email, and photo. Screen LinkedIn for mutual connections, endorsements, and posting history for confidence.

5. Use Real-Time, ID-Verified Video Interviews

This is the best way to detect deepak resumes using ai. Conduct live interviews with screen sharing, identity checks, and spontaneous questions about their experience.

Can AI Help Detect Deepfake Resumes/Interviews

Yes, AI can absolutely help detect deepfake resumes. It saves time and cost of the employers. Use AI-powered applicant tracking system that can scan resumes to:

• Identify copy-pasted or AI-generated content.
• Detect inconsistencies in timelines, job titles, or responsibilities.
• Flag unusual patterns like too many high-profile roles in a short time.

Utilize advanced AI-driven detection tools to authenticate candidate identities and credentials. Train HR personnel to recognize signs of deepfake applications and stay updated on emerging threats.

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Bharat Kumar

Bharat is an editor and staff writer for The Next Tech. A recent addition to the news team, he is involved in generating stories for topics that spread across The Next Tech's categories. His interest in Consumer Tech and AI Tools help bring the latest update to our readers. He is always up to learn new things and is a die-hard fan of Call of Duty Saga(s).

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