Becky Holton is a journalist and a blogger at BestEssays. She is interested in education technologies, best term papers and is always ready to support informative speaking at Brill Assignment. Follow her on Twitter.
Today, we are experiencing unexpected and surprising rise in artificial intelligence. At this point, AI and automation are slowly taking over every industry we have, shaking all our departments, and automating almost everything.
Machines have replaced humans in so many tasks, but simultaneously created various new job opportunities.
The changes happen so fast, it’s really hard to keep track of them. However, by following the progress of AI and using it to our advantage, we can do masterful things with its help, even in the HR department.
Artificial intelligence today
Just think of how far we’ve progressed in this area by now. Automation has taken over the lengthiest administrative assignments that took HR managers hours of every day. AI helps us manage and recruit people, and the myriad of modern automation resources grows by the minute.
“We can only expect new great things in the field, things that will completely transform the HR processes, over and over again. And while we can’t anticipate what will happen in the far, far future, we can surely take a peek into the near future.” – Peter Hope, an IT expert at EssayHave.
Currently, the biggest players in the HR industry are robotics, AI and of course, automation. No one can say for sure which one is the most beneficial and significant in terms of HR, but with the combination of these three, we can only expect more changes in the near future.
According to a survey by PwC, 72% of HR executives trust that artificial intelligence will be highly advantageous for the business world in the following years. Many seem to share this opinion and experiment with the great things it currently offers.
For example, Uber just did its first cargo shipment with an AI-controlled truck two years ago.
People are still testing the AI waters. Once we get full idea and control over it, we can do masterful things with its help.
Automation and AI in the HR process of the future
Now that we’ve established where we stand, it is time to look at the future. How will automation and AI influence the world of human resources? Here are the 6 ways:
1. Fair recruitment process
How can human bias damage the recruitment process, really?
Well, humans have the unintentional or intentional habit of making uninformed choices based on stereotypes. Human bias has been one of the biggest problems in the world of recruitment. The HR process is at fault here; specifically HR managers and recruiters seem to fall victim to confirmation bias, often subconsciously and make uninformed and often discriminatory decisions as a result. In many cases, they pass on an excellent candidate just to hire someone else based on ethnicity, gender, age, etc.
With the help of artificial intelligence, we are already moving forward and passing this problem to the past. Artificial intelligence is already being programmed to ignore these details about the candidates. The focus is put on candidates’ credentials and qualifications instead of on their background, skin color, age, or any other human bias factors.
Just four years ago, Google started using the qDroid, a recruitment tool that provided recruiters with better interview questions that completely disregard the candidate’s background. Such approach isn’t as widespread as it should be at the moment, but the fact is, Google remains one of the companies that hire the very best candidates, human bias-free.
We can only expect this to progress and take over every HR department on a worldwide level.
Some other popular companies have done this, too, such as the writing service assignment geek and the hiring service GapJumpers. GapJumpers is among the first ones who started to use AI to help beat the human bias. It does so by creating bling auditions to help recruiters hire the very best without any discrimination or bias.
Organizations such as this one have been using artificial intelligence and automation to make the recruiting tasks more effective and less discriminatory. Based on this, one of the biggest impacts of automation in the future will be the emergence of more fair screening and hiring practices within the HR process, allowing for equal rights among the candidates for a given job position.
Artificial intelligence can be programmed to learn the needed skills and qualifications, remember what role demands what type of candidate, and apply the obtained knowledge to grade and screen, as well as rank the candidates that are a right fit for the position. And since AI is not a human, this will go without the damaging human bias.
The results are amazing. Companies that have used this approach have seen tremendous results in terms of cost per hire, re-hires and recruiter efficiency. According to TechRepublic, we are currently witnessing a 71% decrease in cost per hire, as well as a tripled increase numbers in terms of recruiter efficiency.
AI will also help automate the outreach. When it comes to recruiting and managing employees, automation can be used in a variety of ways.
As previously mentioned, some companies already use it to create fair and bias-free interview question. And since automated processes take the burden off the hands of recruiters and HR experts, they have more time to tackle the remaining challenges that come with the job.
2. Better assessment of candidates during the HR process
How do you choose a single candidate out of a pile of candidates’ applications? This is one of the biggest burdens and challenges of every HR department – how to choose the right person for the job. Human bias aside, the process still demands a lot of assessment and deep thinking.
Thankfully, AI can help in this process, too. With its help, the recruitment can be almost fully automated. AI can gather the data sent by each candidate, assess it, and compare it to other’s applications.
Companies that have moved forward with this approach include the ITS recruitment agency that checks the candidates for specific job listings to help its clients, Glider that uses some of the best algorithms available to check the skill set of the candidates, as well as the recruitment platform called Ideal that leverages the powers of AI to boost the efficiency of the process.
We are only expecting progress in this area in the future based on the success AI has had in selecting the best people for the job, especially in cases where HR departments have to go through a pool of candidates to pick one or two people. This will not only beat the human bias, but also cut down the time necessary to go through all the applications to nothing, leaving recruiters with the best selected choices for the next step – an interview.
During the manual application checking process, recruiters are overwhelmed with the task of overseeing many candidates. In fact, some of the bigger and most popular companies have to look through hundreds of application. This demands days and weeks of their time, not to mention that it is often done in a rush, with a significantly decreased focus – all of which can lead to a poor choice and evaluation of the candidates.
With the help of business process automation and AI, all data can be gathered, properly and fairly access, and all candidates are given an equal, fair chance at the specific job position. Basically, AI assesses candidates faster, more effectively, and does not at all sacrifice the quality of the hiring process.
Let’s not only speak of the resume-reviewing process. After all, artificial intelligence has also started to be used in the actual interview process, and not only in the question-making task. Preparations for interviews are now mostly automated and with the help of AI, HR managers can actually tailor the questions to the specific candidates.
But, even when the interviews start, AI can turn the videos into data points, track facial and body movements, as well as intonation to track all interviewed candidates. As strangely as it sounds, this can tell recruiters a lot, and we are probably going to see a lot of this implemented in the future hiring processes, too.