The
Role of Artificial Intelligence in Organizations for Recruitment Process: A
Review
Divya
Jyoti Thakur
Assistant
Professor
School
of Business Management and Commerce.
IEC
University,
Baddi
Solan, HP. INDIA.
Email-
divya.minhas1331@gmail.com
Dr. Sakshi Sharma
Assistant
Professor and HOD
Faculty
of Management Studies
ICFAI
University,
Baddi Solan, HP. INDIA.
Abstract
Artificial Intelligence
is a new buzzword in the corporate world. AI in recruitment is revolutionizing
the entire recruitment process. It is breaking the monotony in the recruitment
process, for instance, making phone calls, screening resumes; short listing
candidates and replying to them are all getting automated. Thus, the aim of the
present study is to understand the role of AI in recruitment. The study also
examines various AI tools used in recruitment. Finally, the study presents the
benefits and challenges of using AI in recruitment.
Keywords: Artificial Intelligence (AI), Recruitment Process,
Human Resource Management
INTRODUCTION
Artificial
Intelligence and Recruitment
Recruiting
is one of the toughest issues businesses face today (Seseri, 2018). Recruiting
the right candidate is crucial for every organization. The traditional
recruitment process required human intervention at every step i.e., from
sourcing candidates, screening resumes, conducting interviews, making final hiring
decisions and documentation. Due to human involvement the process was very time
consuming and even vulnerable to errors. Neeraj Sanan, CMO of Spire Technologies states
that the entire recruitment process in India takes in excess of 125 days
(Sharma, 2017).
AI
is a new buzzword in the corporate world. AI in recruitment is revolutionizing
the entire recruitment process. It is an upcoming area which can reduce and
even remove time consuming activities involved in the recruitment process.AI is
a game changer in the job market today as organizations grapple with the twin
challenges of cost and time to identify, attract and engage talent (Sharma,
2017). AI can change the way in which recruiters discover and hire talent. It
is empowering recruiters to become smarter and more efficient by reinventing
the hiring process (Ally, 2017). AI is performing the mainstream activities in
recruitment such as sorting through a large number of resumes or social media
profiles to find the right fit for the job, analyzing vocal tone or facial
expressions of the candidates in video interviews, and keeping applicants
updated of their hiring status (Zielinski, 2007).
In
a global trend survey by TCS (2017) across North America, Europe, Asia-Pacific
and Latin America found that 84% of the companies use AI in one or the other
aspects of their businesses. The survey found that on an average the companies
spent 70 million dollars on technology that support AI initiatives. Companies
are using technology from sorting resumes to final interviews and follow up. Through
AI systems, the managers can be assured that the hiring process will be a
success and would result in hiring of right candidates. It is breaking the
monotony in the recruitment process, for instance, making phone calls,
screening resumes; short listing candidates and replying to them are all
getting automated. Beyond assisting the recruiters in preliminary rounds, AI also
judges the analytical skills and psycho-emotional traits of candidates. It uses techniques such as machine learning,
sentiment analysis to learn, troubleshoot and problem solving. Prasad Rajappan,
MD, ZingHR states that AI has revolutionized the entire recruitment process by
applying complex mathematical models on sound HR domain expertise and
established HR models to predict the success of a candidate (Sharma,
2017). It can curb biases such as sexual
orientation, religion, political affiliations of the candidate and thus can
improve overall candidate experience.
ARTIFICIAL
INTELLIGENCE TOOLS USED IN RECRUITMENT
Some
of the tools of AI widely being used in recruitment are: Arya, My recruiting
assistant (Mya), Olivia, Pomato and Recruiting Artificial Intelligence (RAI). Arya
is a sourcing platform that improves talent acquisition processes through the
use of predictive analysis, machine learning and behaviour pattern analysis. It
scans through job descriptions, identifies skills and experience required and
then automatically sources talent from various sources
(Walshe
& Lakin, n.d.). Mya initiates a
conversation with the candidate after they apply in the website of an
organization. After the completions of the conversation, Mya sends a scorecard
and the transcript to the applicant tracking system. It then schedules an
interview with the candidate. The software automates the candidate
communication process by providing candidates with up-to-date feedback and
guidance through the entire recruitment process (Walshe & Lakin, n.d.). Olivia
is another recruiting assistant like Mya and Arya. It starts a
conversation with the candidate who shows interest in a position. Pomato
performs over 200,000 computations on a candidate’s resume. Thereafter, it
gives a visual picture of the candidate to determine if they will be a good fit
or not (Clayton, 2017). RAI reduces the level of manual
labor involved in recruiting by automating the steps required to find and make
initial contact with the candidates. It is a conversational tool possessing the
ability to have discussions like humans (Clayton, 2017).
BENEFITS OF ARTIFICIAL INTELLIGENCE IN RECRUITMENT
Faster
time to hire, improved quality of hire, and real time skill set testing and
evaluations are some of the benefits of AI in recruitment (Ally, 2017). Saving
cost and time, talent mapping, quality hiring, reduced turnover, productive
workforce and reduced biases are some of the benefits of AI (Raviprolu,
2017). AI can lead to better job-candidate
matching. Machines can be programmed to screen a large number of candidates
while taking into account more detailed information. This gives each candidate
a chance to be considered and evaluated
based on their entire resume rather than a screening which can be limited to
job tiles, names of the organization, or start and end dates. AI improves the
sourcing capabilities of the organizations. It can review thousands of resumes
in short duration. Sourcing such huge amount of data is physically and cognitively
not possible for a HR recruiter. Thus, AI sort through the entire candidate
data and provides a higher quality pool of candidates. AI can reduce biases in recruitment. Humans’ opinions can be subjective.
Therefore, AI by objectively matching candidates to the job positions can
reduces the amount of bias in the recruitment process. 50 to 60 percent of
recruitment process can be led by Artificial Intelligence solutions (Sharma,
2017). AI model helps eliminate interview bias and improvises the efficiency of
the entire recruitment process by over 80 per cent (Sharma, 2017).
CHALLENGES OF ARTIFICIAL INTELLIGENCE IN RECRUITMENT
Although
AI can automate the entire process of recruitment, it isn’t perfect. A machine
cannot make a real connection. Thus, AI suffers from various disadvantages such
as lack of human touch and difficulty in dealing with human beings (Raviprolu,
2017). AI also requires learning new
tools and techniques proficiently.
Therefore, organizations need to train the individuals to acquaint them
with the new techniques. Another limitation of AI is it may not understand certain
phrases, words, signals and language that can be understood by humans.
CONCLUSION
HR
managers are expected to contribute to the strategy planning of the
organization. However, the managers are mostly overburdened with the
administrative tasks. These tasks are time consuming and thus keep HR
professionals from achieving larger goals. AI provides solution to the problem by
reducing the amount of time required in talent acquisition. Tools mentioned in
the papers such as Mya, Olivia are can reduce the administrative burden on HR professionals.
AI can make the recruitment process more efficient and less time consuming. AI
is transforming the role of the recruiter. It is allowing HR professionals to
be more strategic. Recruiters who will be able to leverage the technology will
be rewarded with benefits like quality hiring, reduced turnover and productive
workforce.
REFERENCES
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