Interest in artificial intelligence (AI) recruiting technology has exploded recently. From finance to sales departments, business leaders are asking how they can leverage AI technology to become more efficient, cost-effective, and competitive. HR is no exception.
To stay on top of this trend, here are seven recruiting AI terms that every recruiter needs to know.
Artificial intelligence (AI) is a machine that can mimic human abilities such as learning, problem- solving, planning, perception, and the ability to move objects.
In a nutshell, AI requires large amounts of data as inputs to produce an output which is a solution to a problem. Core areas of AI include machine learning (e.g., Netflix recommendations), machine perception (e.g., Apple’s Siri), and robotics (e.g., self-driving cars).
How AI is used in recruiting
AI for recruiting is the application of artificial intelligence such as learning or problem-solving to the recruitment function. Recruiting AI technology is designed to automate some part of the recruiting workflow, especially repetitive, high-volume tasks.
Applications of recruiting AI technology that currently exist include automated resume screening, recruiter chatbots, and digitized interviews.
An algorithm is a procedure or formula that takes inputs through a sequence of steps to produce an output in order to solve a problem.
How an algorithm is used in recruiting
The simplest form of an algorithm used in recruiting is a keyword or Boolean search. The problem here is identifying qualified candidates from a larger applicant pool, the inputs are your search terms, and the output is a shortlist of candidates who meet your search specifications.
An example of how an algorithm is used in recruiting AI technology is intelligent resume screening. The problem here is the same: identifying qualified candidates from a larger applicant pool.
Instead of using pre-selected search terms, this type of machine learning algorithm trains itself on prior employees to learn which resume data points (inputs) are correlated with successful employees to produce a shortlist of qualified candidates (output).
Machine learning is a type of computer program or algorithm with the ability to teach itself by analyzing data (inputs) and coming up with a solution (output).
A machine learning algorithm continues to learn from new data you input to increase the accuracy of the solution it comes up with.
How machine learning is used in recruiting
Machine learning algorithms in recruiting AI technology is being used to automate resume screening to shortlist and grade candidates by learning from existing employees’ resumes.
Machine learning algorithms in recruiting software are also being used assess candidates’ personality, and job fit through digitized interviews by learning from successful candidates’ facial expressions and word choices.
Natural language processing is the ability of a computer program to understand human speech as it is spoken or written.
