With the fear of a singularity on one hand and the increasing presence of AI in so many aspects of our life, on the other, it comes as no suprise that AI could possibly determine who gets a job, when and where. This blog explores the key processes in recruitment and where AI can be substituted in these as a more efficient means to the previously time and resource consuming process of recruitment. Recruitment is one of the most crucial parts of expansion of operations. And an efficient recruitment cycle is imperative in obtaining quality and productive candidates while negatting limitations of loss of resource, time and productivity.The following are some of the key elements of a recruitment cycle.
The use of AI in the above stages of recruitment process from sourcing and selection to interviewing and onboarding of a
candidate, has been increasing since the innovation of artificial intelligence. AI has been revolutionizing how companies carry
out their hiring processes.
In large companies, where hundreds compete for a single job posting, screening resumes manually becomes a tedeous and
time-consuming job. And why spend hours when AI can do it in minutes? AI-powered Applicant Tracking Systems with specific
algorithms are used to filter resumes based on employment history, qualifications, and experiences, ensuring the most apt
candidate for the requirement.In .
A Harvard Business Review study found that the use of AI in screening improved candidate quality by 29% and reduced time-to-hire by 50%.
AI-driven platforms like LinkedIn and other recruitment tools analyse public date and match profiles to the job description
thus, actively sourcing candidates. This saves recruiters time and ensures a more targeted selection of potential hires.
Imagine being able to predict the likelihood of a candidate succeeding in a job before even hiring them! This could save a
company, several months and resources spent on training candidates who could possibly end up incompatible for the job.
Predictive analysis tools can be used in recruitment, which analyses a candidate's past experiences, skills and even how
well they can be integrated into a company's culture. The data from these analysis offer useful insights to recruiters in
making smarter choices.
Despite the many advantages of incorporating AI in the recruitment process,there are some things that cannot be fulfilled
by mere algorithm and require human intuition and understanding. Critics argue that relying solely on algorithms may
overlook unique candidate traits that aren’t captured in data.
AI in recruitment is not just about speed. It's also making hiring more efficient candidates and reducing biases. While
automatisation of recruitment processes prove to be extremely time and cost efficient, it also addresses one of the major
limitations in recruitment which is that of biases. Since AI evaluates candidates purely based on data, it minimizes
unconscious biases that may come from human recruiters.This has not only been advantageous to the recruiters but also to
the candidates applying for a job.
AI promotes fairness in the process of evaluation by assesing one's resume, demo etc objectively and without any biases. It
is important to note that AI is seldom without biases, as the functions of it are inputs given by humans.
Candidates also benifit through the incorporation of ai in other ways. Use of AI chatbot ensures the constant engagement
of candidates throughout the hiring process. These bots can help answer FAQs, provide application status updates and
even schedule interviews.
With the assistance of AI throughout the recruitment process, candidates can expect quicker communication of
information and can be kept informed through every stage of the process.
In the later stages of the recruitment cycle, interviewing and onboarding, companies use AI driven video interview
platforms which are enabled to asses the speakers language, speech patterns, facial expressions and even the tone. Post
hiring, during the onboarding processes AI can be used to smoothen and personalise the onboarding process catering to
individual candidates requirements
Despite the many advantages of incorporating AI in the recruitment process,there are some things that cannot be fulfilled
by mere algorithm and require human intuition and understanding. Critics argue that relying solely on algorithms may
overlook unique candidate traits that aren’t captured in data.
Therefore, the future of recruitment undeniably incorporates AI, making it more time and resources efficient and ensuring
productivity, fairness and quality in hiring candidate. However it must be kept in mind that the presence of the human
element is highly imperative for a holistic recruitment process.
So, whether you’re an employer looking to improve your hiring process or a job seeker, AI is your new recruitment partner.