AI interviewing’ used to signify a system in which a candidate would communicate with a camera, record answers to several questions and have those evaluated by an algorithm. In many ways, the process resembled leaving a voice message for receiving a job position as it was performed on a one-sided basis. However, things are now changing, and we are moving toward the introduction of two-way interviewing where conversational AI would hold conversations with candidates, listen to responses, ask questions, and make changes in line with human recruiters.
It is significant as one of the major arguments against the usage of the old systems of AI recruitment was that they are too personalized. The candidate was simply replying to pre-recorded questions without any possibility to clarify matters and get feedback in case he or she has replied ambiguously. This is indeed a big step forward since AI will now be able to have real-time conversations with a candidate, scrutinize his/her CV, and ask additional questions if necessary. For hiring teams, this implies that first-round interviews can now take place without the recruiter being there the AI holds the conversation using machine learning and gives a scoring according to a certain criteria, the report will be available on the same day.
What Is Driving the Adoption of Two-Way AI Interviewing?
The need to implement is based on effectiveness and uniformity in a large-scale setting. Recruiters find themselves trapped in applications, and first interview is always the most labor-intensive part of the recruitment process. AI-powered interviewing systems can operate day and night without limiting candidates to interview time, meaning that applicants can be assessed straight after they submit their application, not within a week. All applicants can be judged based on objective criteria that make it fair in the first place. Quite many systems also offer the possibility to conduct programming evaluation during the screening, that helps solve the problem of necessity to interrupt specialists with the most complicated tasks.
It does not eliminate any controversy surrounding the whole topic. Candidates and advocacy groups still ask whether an AI system can evaluate soft skills as well as the ability to think and reason in an effective way and whether the process is transparent when it comes to a decision that includes an automated score. It seems that regulators want vendors to conduct bias audits, disclose that AI is used for interviewing, and involve a human being in the process of taking that final decision.
How Does Two-Way AI Interviewing Scale High-Volume Hiring?
The sheer scale of applications being received by organizations today is also influencing how adoption processes operate. With each job posting attracting hundreds of applications within a few days, it is unrealistic for recruitment teams to screen each one of them manually. The advent of AI two-way interviewers means that this large volume of applications will be processed at no extra cost, with every candidate being interviewed immediately after applying, thus eliminating any delays in the hiring process. Being able to process applications at such a fast pace puts candidates at an advantage because they will be engaged even before the other recruiting bodies get their resumes reviewed.
Three tools offering two-way AI interviews
1. Rebecca AI by Pete & Gabi
Rebecca AI is a voice AI recruiter for conducting first-stage interviews whereby role-related queries are posed based on the responses given. Furthermore, one may also choose to use the service to conduct live coding tests in various programming languages. There’s also an in-house “Rebecca AI Guard” software that offers cheat detection, quarterly EEOC four-fifths rule checks, and compliance with SOC 2/GDPR/CCPA/ISO 27001 regulations.
2. Fabric
Fabric AI tool is presented as a comprehensive “AI Hiring Operating System” that identifies candidates and manages multi-channel communication through email, phone calls, and WhatsApp, paving way for the initiation of the video interview. The interviewer performs live coding assessments in more than 20 programming languages and detects any unwanted AI responses based on behavioral data. The company has launched a “Campus Hiring Mode” to facilitate mass recruiting, integration with different messaging platforms like Slack, email, and other ATS systems.
3. Alex (by Apriora)
Alex AI solution is another platform that allows the interviewee to communicate via video calls or text messages in over 26 languages and has continued to show positive results. The company has achieved over a million interviews to date with regular third-party verification of biases in the interview process and has the support of a $17 million Series A funding from Peak XV Partners.
Choosing the Right AI Recruiting Solution
Rebecca AI by Pete & Gabi has a strong focus on technical screening and compliance with documentation regulations and requirements, thus making it a go-to option for organizations with heavy engineering hiring practices, needing to conduct audits and in need of evidence. The approach taken by Fabric is quite different, as it provides a complete package that involves all hiring processes, starting from the sourcing stage up to the interview stage. Alex’s emphasis on culture and identity verification allows this company to be the best option for organizations hiring in different countries or from diverse candidate pools.
Regardless of the company chosen, each candidate should adhere to the same procedure. It is necessary to see a live demonstration of real communication and ask about any evidence of audits of the methodology used for selecting candidates. It is also essential to find out the kind of information given to candidates prior to their hiring processes, as well as to clarify areas in which human judgment is made prior to giving candidates a yes or a no answer.
FAQs
1. What’s the real difference between a two-way AI interview and a one-way video interview?
One-way interviews involve candidates submitting responses without any engagement, while two-way conversations are characterized by live dialogue where the AI responds to the candidate’s answers. The three platforms here have two-way conversations, but each one has its own way of presenting it. Rebecca AI and Fabric use technical depth as the key issue in their conversations with follow-up questions to probe into the candidates’ responses. On the other hand, Alex relies on the same adaptive approach but utilizes it on different platforms.
2. How well do AI recruiting tools assess hands-on technical skills like coding?
In terms of quality, all three platforms have a good level but present different ways of carrying out the process. Rebecca AI and Fabric offer live coding interviews where candidates create software in more than 20 programming languages, while the AI asks questions about different features of coding. Alex employs a more structured behavioral and scenario-based approach by using the same methodology.
3. Which anti-cheating safeguards do AI recruiting tools use to stop candidates from gaming for an interview?
AI recruiting tools from all three vendors offer this feature as a standard component of their software platform. For instance, Rebecca AI incorporates multiple approaches in monitoring how users interact with their software, searching screens, sending data, and using their local scanner. Fabric, on the other hand, relies on analyzing 20 indicators of behavior to distinguish between AI-generated and human-made content rather than utilizing intrusive technologies, such as gaze-tracking. The “Verify” agent used by Alex signals issues concerning identity and overall situation of the interviewee during the communication process.
4. How do AI recruiting tools handle candidate data security and privacy compliance?
AI recruiting tools maintain strong operational standards, but their compliance transparency varies. Rebecca AI provides documentation for SOC 2, GDPR, CCPA, and ISO 27001 and undergoes regular audits. Alex highlights independent bias audits, while Fabric shares less public information about its compliance practices. Organizations with strict regulatory requirements should request the latest compliance documentation from each vendor.
5. Which AI recruiting tools work best for high-volume, global, or multilingual hiring?
Out of the three systems, Alex can be used for global multi-language volume, providing support for more than 26 languages via video, phone calls, SMS text-messaging, and WhatsApp text-services. It is important in countries where WhatsApp is the most used means of communication. Fabric has a Campus Hiring Mode that was specifically designed for high-volume recruitment drives utilizing generation of questions per candidate. Coming to volume, Rebecca AI performs remarkably but is not as good as Alex when it comes to multi-channel and multi-language use.
6. How much control do recruiters retain over final hiring decisions when using AI recruiting tools?
All three systems involve the use of AI in screening processes, but the final decision regarding hiring is left to the human recruiter. Candidates are always provided with a scored report and a transcript generated by Rebecca AI and Fabric to help them in deciding the next step for a candidate.
