
Man Shares His Bizarre Job Interview with AI — Is This the Future of Hiring?
Artificial Intelligence is gradually taking over various tasks that were once the domain of human workers, and now it’s making its way into the hiring process. A man recently shared his unsettling experience being interviewed for a job by AI, shedding light on what might be the future of recruiting.
The man was required to complete a video interview with HireVue, an AI-driven platform used by many companies to assess potential employees. Rather than sitting face-to-face with a human interviewer, he found himself answering questions posed by a machine, with no human interaction involved.
The AI Interview Experience
According to the man, the process came with very specific instructions. He was required to wear a suit without a tie, ensure that his headphones were off, maintain the right volume levels, and be in a well-lit, quiet area. He then had to answer five interview questions, each of which allowed one minute of preparation before he recorded his response. The catch? There was no way to delete or redo his answers; they were final once recorded.
The AI system was sophisticated, observing not only his responses but also his facial expressions, eye movement, and even the way he answered. The candidate was instructed to use the Situation, Task, Action, Result (STAR) method when responding, which is a common interview technique. The AI then used this data to score his performance.
Eye Movement and Scoring:
Interestingly, the system paid close attention to his eye movements. If his eyes strayed away from the camera for too long, the score would decrease. The system was programmed to assume that a candidate looking away from the camera might be reading from notes or other devices.
If the man’s score met a certain threshold, real humans would review his answers. From there, he could be selected for further interviews with other members of the hiring team.
But the AI interview didn’t end with the usual questions. The man was also asked to play two games: one involving numbers and the other with shapes. It was unclear what metrics these games were designed to measure, but they were likely aimed at assessing cognitive abilities or problem-solving skills related to the role.
The Rise of AI in Hiring
While this AI interview may sound bizarre to some, it’s actually becoming more common. During the pandemic, many human resource management processes moved online, and even as life has returned to in-person interactions, certain elements, like AI-driven interviews, seem to be sticking around. According to the Harvard Business Review, there are three main types of AI interviews companies might use:
- Automated Video Interviews (AVI): In this format, candidates record their answers to pre-set questions. A human still makes the final hiring decision, but the interview is filmed for review later.
- AI-Assisted Interviews (AI-A): This is the format the Reddit user encountered. While the AI helps with the interview process by analyzing responses, movements, and facial expressions, a human will still review the candidate’s performance and make the final decision.
- AI-Led Interviews (AI-L): In this type of interview, AI systems make the hiring decision on their own, without human involvement. This is the most advanced and controversial type of AI recruitment, where a machine could be the final arbiter of a candidate’s fate.
The Unsettling Possibility of AI Making Hiring Decisions
The idea that AI might eventually be responsible for making final hiring decisions raises questions about fairness, bias, and accountability. Many argue that machines, no matter how sophisticated, cannot replicate the nuances and complexities of human judgment. AI systems can be programmed to analyze specific metrics and behaviors, but they lack the empathy, intuition, and context that human interviewers bring to the table.
This shift towards AI-driven hiring practices also brings up concerns about bias. AI algorithms can reflect the biases of the data they’re trained on, which could lead to discrimination, even if unintentionally. For example, an AI system might unknowingly favor candidates with certain facial expressions or patterns of speech, or it may not account for candidates who perform poorly in the structured format of an interview but excel in real-world tasks.
The Future of Recruiting: Should We Embrace AI?
As AI becomes more ingrained in hiring processes, the question arises: Should we allow machines to take over hiring decisions? On one hand, AI could make the recruitment process more efficient by quickly sifting through applications and identifying candidates who meet specific criteria. It could also reduce human bias in some cases and help companies streamline their hiring processes.
On the other hand, relying too heavily on AI in hiring could alienate candidates who perform poorly in structured interviews but have valuable real-world skills. It could also lead to a lack of diversity in hiring practices if AI systems aren’t properly adjusted to recognize a broader range of experiences and potential.
While it’s clear that AI is here to stay in the hiring process, there’s still a lot of work to be done to ensure it complements human judgment, rather than replacing it entirely. As we move forward, it’s important that companies consider the ethical implications of using AI for recruitment and that they continue to evaluate the fairness and transparency of these systems.
Conclusion: AI in the Hiring Process — The Future or a Step Too Far?
The rise of AI in hiring is just one example of how technology is transforming the workforce. While it’s fascinating to think about the efficiencies AI could bring to recruitment, it’s important to approach this shift with caution. The human element in hiring—judgment, empathy, and intuition—remains a critical part of the process.
As AI continues to evolve, it will be essential for businesses to balance automation with human oversight, ensuring that fairness and transparency remain a top priority. For now, the AI-driven interview may be the future of recruiting, but the question remains: Is this the best way forward?
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