The growing role of AI in recruiting

The growing role of AI in recruiting

AI is a technology that enables machines to exhibit intelligence by simulating and mimicking human intelligence. This ability of AI has facilitated its penetration into almost every business area, and recruitment is no exception. Several giant companies and recruitment agencies have already started utilizing AI in recruitment. For instance, L’Oreal has used AI in recruitment to hire employees for 15,000 vacant positions. With AI, L’Oreal saved 200 recruiting hours. And it’s not just saving recruitment hours, there are several other mind-blowing benefits of AI that are transforming recruitment.

How AI-based job software is reshaping recruitment

Applications of AI have the potential to revolutionize the way employers and recruitment agencies hire. In fact, according to a global survey, 67% of respondents said that AI has completely transformed recruitment processes in their companies.

Automating sourcing process

Recruiters are now proactively sourcing employees, instead of waiting for the right talent to come across their job posts and apply. And why not? Proactive sourcing helps employers to find the right talent quickly. According to a study, 1 in 72 sourced candidate is hired on an average compared to 1 in 152 who apply. Sourcing candidates accelerate the hiring process, but it is a time-consuming and tedious process that can make recruiters day hectic. They need to screen every resume from the job seekers’ database. And then they have to match job requirements with candidates’ skills. AI can automate the screening and sourcing processes.

AI-based job software can scan resumes from a database with the help of computer vision to target potential job seekers. It can also match candidates’ skills with job requirements. And, then it can compile a candidate list based on the number of skills matched. This can automate the sourcing process and minimize the burden on recruiters.

Streamlining job seeker selection

Employees are hired after going through multiple rounds of interviews. The first round of interviews includes asking some common questions to detect language fluency and confidence in an interviewee. Employees with great fluency and confidence complete the first round of interviews and advance to the second stage, where their skills are tested, and further procedures are conducted. But, interviewing all the interviewees for the first round of interviews is a time-consuming task. AI systems can aid recruiters in conducting this first round of interviews by automating it. Computer vision can scan written answers of interviewees to determine the most common required skills like language fluency and grammar. It can also determine personality parameters like confidence. Natural language processing (NLP) can determine the above-mentioned parameters in a telephonic interview. Computer vision and NLP can help evaluate candidates to streamline candidate selection.

AI systems can also eliminate human bias. Talent acquisition personnel struggle with unconscious bias. AI systems, on the other hand, give a data-driven conclusion that removes human bias. However, the use of incorrect data while training AI systems can replicate human bias instead of eliminating it.

Enhancing candidate engagement

It might have become easy to reach a larger job seeker pool, but poor candidate engagement can result in losing the best talents. Hence, it is important to engage job seekers during an ongoing interview. Based on a study conducted, 80-90% of candidates say a positive or negative interview experience can change their minds about a role or company. Also, after hiring, retention of employees largely depends on how well they are engaged within the organization. AI systems here can enhance candidate engagement with the help of facial recognition and by monitoring their social media activities.

The interview of a job seeker is usually scheduled after a few days of initial contact. ML algorithms, in the meanwhile, can monitor interviewees’ social media profiles and activities. This can help AI systems provide real-time assistance to recruitment agencies to conduct engaging interviews. For instance, if a job seeker is socially very active, then HR personnel can speak about some social media trends while interviewing, which can attract and engage the interviewee.

Computer vision and facial recognition can help detect the engagement of hired employees. Such insights assist HR managers in understanding which employees are not engaged with the organization and why? This can help them to take initiatives that can enhance every employee with each other and with the organization as a whole.

Facilitating job advertisements

Employers and recruiters have to advertise their job openings on multiple platforms to reach the largest talent pool. And when there are multiple job openings, employers have to create some unique advertisements for each posting. In the case of multiple openings, candidates might get confused between which opening they should apply for. Creating unique job posts and advertisements, where job descriptions and requirements can be easily pointed out, helps candidates to select the right post for them. AI systems can auto-generate unique job posts and advertisements.

AI systems can augment writing to assist employers in knowing how well their words on an advertisement will perform on different sites. For instance, Textio Flow is an augmented writing product that uses AI to assist users in developing engaging content. It also gives a predicted hiring score based on AI to understand how the created advertisement or job posts will perform. Also, ML algorithms can monitor job posts and advertisements of other employers and recruiting agencies. AI systems can learn from that data and create unique advertisements based on current market trends and employer needs. They can also create niche and platform-specific advertisements for various advertisement platforms.

Leveraging virtual assistants

Everyone today would have heard about chatbots. They provide several interesting applications. And that’s why 80% of businesses want chatbots by 2020. Chatbots are all set to become a crucial part of almost every business. And recruiters should leverage them too for providing better assistance to job seekers. 80% of job seekers wouldn’t reapply to a company that didn’t notify them of their application status. Hence, constant conversation with employees becomes key to enhancing engagement.

There’s much more to chatbots. AI-based chatbots can enable 24/7 service and constantly communicate with employees. Employers and recruitment agencies can also integrate chatbots into platforms where they are showing their job posts and marketing campaigns. Candidates can then directly connect with the chatbot through the job post itself. This makes it convenient for job seekers to reach employers.

Chatbots can also facilitate proactive communication. Companies apply passive communication in general, i.e., they are not the ones to initiate communication. But, in this competitive world, passive communication will soon not be an option. Chatbots can initiate the first communication by simply sending greetings for the day to candidates who click on job posts. And then, they can collect candidate data and alert HR personnel about the communication. They can also answer employee queries, schedule interviews, and send notifications, among other benefits.

How can job boards and recruitment agencies respond?

To leverage this trend of AI in recruitment processes, job boards and recruitment agencies need to successfully integrate AI systems into their enterprise systems themselves. And for successful integration, they can use premium tools like the ones provided by Propellum. All premium tools provided by Propellum like EasyPost and Job Posting are compatible with almost every ATS system. This makes it easier for integration with your existing IT infrastructure. Also, job boards and recruitment agencies have to deal with a large volume of job posts from different employers. Propellum’s Megawrap is a job aggregation that helps recruiters and job boards to aggregate a large volume of jobs from multiple sources and post them in just a few clicks.