British universities are embracing automation in their application processes, but with this advancement comes a new challenge: “deepfake” applicants. Enroly, a software platform utilized by several universities, recently uncovered a startling trend of candidates using deepfake technology to manipulate their online interviews. These deepfakes employ artificial intelligence to create convincing fake images and voices, allowing applicants to enhance their responses or even replace themselves entirely with a more polished version.
Although the number of deepfake cases remains relatively low, with only around 30 instances out of 20,000 interviews during the recent January intake, the implications are significant. Phoebe O’Donnell, Enroly’s head of services, described deepfakes as a nightmare for interview assessors, citing the challenges in detecting these sophisticated forgeries. Despite the complexity of the technology, Enroly is committed to staying ahead of the curve and collaborating with partners to combat this emerging threat.
The rise of deepfakes is not limited to university admissions processes. In a high-profile incident last year, the CEO of WPP fell victim to a deepfake scam involving an AI-generated voice clone and video representation. While deepfakes constitute a small fraction of fraudulent practices in interviews, Enroly’s analysts have identified instances of outright deception in 1.3% of interviews, with deepfakes comprising only 0.15%. The software platform employs various techniques, including facial recognition and passport matching, to detect and prevent fraud.
Challenges and Solutions in Automated Interview Screening
The adoption of automated online interviews and questionnaires by UK universities reflects a broader trend in streamlining the admissions process, particularly for international student applicants. These automated interviews allow candidates to respond to predetermined questions via the platform, enabling admissions staff to assess their communication skills and suitability efficiently. However, the convenience of automation also presents challenges in verifying the authenticity of applicants’ responses.
Universities face stringent requirements in vetting international applicants to maintain their sponsorship status with UK Visas and Immigration (UKVI). Failure to meet the Home Office’s standards, including a maximum refusal rate of 10% for sponsored applicants, can jeopardize a university’s ability to sponsor students. By leveraging automated interviews, universities can assess applicants’ English proficiency and overall performance swiftly, allowing them to identify red flags and conduct further evaluations when necessary.
Ensuring Integrity in the Admissions Process
As the use of deepfake technology evolves, universities must adapt their screening methods to uphold the integrity of their admissions process. Beyond technological solutions like facial recognition and passport matching, institutions can implement additional safeguards such as live interviews to verify candidates’ identities and responses. Collaborating with industry experts and regulatory bodies can also provide valuable insights into emerging threats and best practices for fraud prevention.
In the age of digital innovation, the convergence of technology and education presents both opportunities and challenges for universities worldwide. By remaining vigilant and proactive in their approach to applicant screening, institutions can safeguard the credibility of their admissions process and uphold the standards of academic integrity. As Enroly and other software providers continue to refine their fraud detection mechanisms, the battle against deepfake applicants underscores the importance of adaptability and resilience in higher education.
