What are AI interviews and do they really work?

If you think AI (aka artificial intelligence) is just the talk of the town, here’s the truth: it’s becoming the new normal. And companies that use it, especially in hiring, will have an unbeatable advantage.

A simple Google search will show you tons of people discussing the drawbacks of traditional interviewing, which is assessing trivial skills using fake scenarios. 

AI interviews hit the bullseye on precisely this problem statement. AI interview works because it assesses candidates based on their actual skills and removes any kind of bias as well. That means no more “If I had talked more, I would have gotten the job”. 

Summarise this post with:

What is an AI Interview?

An AI interview is a recruitment technique that uses artificial intelligence to evaluate candidates, using automated or AI-assisted assessments. It can be one-way or two-way video or audio interviews, analyzed by AI, or directly by an AI interview bot. 

Such a process eliminates the need for real-time interactions, streamlining the hiring process by automating tasks and providing data-driven evaluations. AI interviews for hiring assess candidate’s suitability for a role by evaluating their response, body language, and facial expressions. 

Related: How to use video and audio interviews to assess candidates

How does an AI interview work?

Assessments in AI interviews are usually conducted through one-way video or audio recordings, where candidates respond to pre-recorded or system-generated questions. 

These questions could cover various aspects such as adaptability, how well they react to specific situations, why their background fits the job, and how well they answer questions. 

Although it may seem like a simple interview with a bot, this recruitment process can be a sophisticated approach that analyzes multiple factors to assess the suitability of a role. 

The purpose of AI interview screening is to reduce the time and effort human recruiters invest and to automate monotonous tasks. Specific skills assessment platforms, such as Testlify, offer two-way video interviews, Chat AI simulations, and audio interviews. 

Using machine learning and natural language processing (NLP) algorithms, the responses of candidates will be analyzed, assessing body cues like body language, facial expressions, tone, and even words used. Depending on the tool, the platform analyzes and provides AI-generated scores in real time.

Testlify takes it a step further and provides an option for weight-based scoring, giving you the complete freedom to choose how you want to score. 

The software also recommends top candidates based on their platform. 

Unlike other platforms, Testlify doesn’t automatically reject candidates. Instead, it displays results in reporting analytics, allowing recruiters to review the data and make fair, informed, and unbiased hiring decisions.

You can also globally benchmark candidates’ profiles for better evaluation. AI interviews are primarily used during the initial rounds of interviews, allowing recruiters and hiring managers to interact with candidates. 

How can recruiters use AI interviews for hiring?

Interview AI can help human interviewers gain a clearer understanding of a candidate’s skills beyond what they see. Subtle cues like word choice, sentence gaps, and pacing, which often go unnoticed by human interviewers, are easily picked up by AI.

AI interviews add a layer to the traditional interview scenario by providing real-time pain-specific prompts, support, and analysis to the interviewer. Such a process augments human-led decision-making. 

AI in recruitment can also reduce unconscious bias, offering a fair and consistent process. 

Related: Unconscious bias in the hiring process & how to overcome it

What are the benefits of using AI interviews?

AI-based interviews make hiring much quicker and more efficient. Companies can now review hundreds of applicants 50% faster and cut recruiting costs by up to 30%. On average, recruiters receive 250+ applications, and sifting through all these is a major bottleneck. 

By using AI-assisted interviewing tools, job seekers won’t have to wait weeks to know if they’re moving forward or should look elsewhere. Job seekers can view the real-time status of their applications, providing clarity and transparency.

Most enterprise companies are keen on providing a custom branding experience to their candidates. Testlify tackles this by providing a white-label option. 

Plus, more HR teams are trusting AI. 51% of pros now say they highly trust AI systems in work settings, up from just 37% last year. 

AI job interviews reduce bias by up to 40%. Although AI models can still inherit bias from their training data, selecting the right tool is crucial. At Testlify, we continuously retrain our models on fresh, diverse datasets and perform rigorous bias audits to ensure fairness and eliminate any discriminatory outcomes.

What are the challenges and concerns of using AI interviews?

One of the major concerns regarding AI interviews is undoubtedly the risk of human bias and potential violations of anti-discrimination laws. However, this is not limited solely to AI-based software. 

A 2025 lawsuit against Workday, stemming from its discriminatory screening algorithms, highlights that even well-established systems can inadvertently filter out qualified candidates. Every software provider must ensure that its models are trained on recent and unbiased data, and that it is compliant.

Another challenge is the misinterpretation of human emotions. The AI interviewer could misinterpret interview’s expressions, vocal inflection, and body cues, etc.

This can affect how candidates are scored. That’s why AI interview tools should include human judgment. Testlify does this well; it lets interviewers watch the recording and decide who to select or reject. The tool doesn’t make the final decision; it only gives a score based on its analysis.

Data security is another big concern. That’s why Testlify follows SOC 2 and GDPR standards. This ensures that no one can access candidates’ private data or recorded interviews without proper permission and security in place.

Conclusion: Should you really use AI interviews for hiring?

AI interviews can be highly beneficial in the hiring process. They save time, help review many job applications quickly, and can treat all candidates equally. Some AI tools also help remove bias, allowing people to be judged more fairly. 

But there are also some problems. AI doesn’t understand feelings or body language like humans do. It can sometimes get confused by accents or different ways of speaking. People may also feel weird or nervous talking to a robot instead of a real person.

So, should companies use AI interviews? The best answer is: yes, but use the right platform.

AI can assist in the early stages, such as screening resumes or asking straightforward questions. But humans should still make the final decision. A mix of AI and human interviews is the most innovative and fairest way to hire the right people.

Ready to start using an AI interview? 

Nobody likes a boring 30-minute interview, plus it hardly tells you about the hard and soft skills of a candidate.

AI automating tasks like interviews gives you an edge by thoroughly evaluating candidates’ behavior, physical cues, body language, etc, which might get swept away in a traditional interview setting.

Don’t take our word for it, try Testlify’s AI interviews for free and see it yourself. 

• Assess candidates without unconscious bias clouding the process.
• Get real, skill-based signals and not surface-level impressions.
• Let your team focus on decisions, not just filtering noise.

Because great hiring isn’t about outsourcing judgment. It’s about giving your team better tools to exercise it.

Book a free demo now.