Candidate Fraud Detection ·
Intro

An Interactive Case Study

Candidate
Fraud
Detection

Detecting and Preventing Candidate Fraud in the AI Era

Technology has made it easier than ever for candidates to enhance, misrepresent, or outsource parts of the hiring process. While most candidates approach the process with integrity, fraudulent activity is becoming more sophisticated and increasingly difficult to detect.

At Dexcom, maintaining the integrity of our hiring process is a shared responsibility. Recruiters, hiring managers, and interview panel members each play an important role in making informed hiring decisions and identifying potential concerns throughout the process. In this course, you will review examples of candidate fraud and learn practical techniques for recognizing warning signs before a hiring decision is made. The course takes approximately 30 minutes to complete.

Choose the role that matches your role in hiring.

About 30 minutes.

What to Expect

AI use disclaimer: This course was created with the help of generative AI tools at every stage, including the writing, scenarios, narration voices, video, images and course build. The learning design and writing were directed, reviewed and edited by the course designer, and the content was reviewed by Dexcom subject matter experts.