The Human-centric Approach Leveraged by AI in Talent Acquisition

Artificial intelligence has become a major disruptor in almost every industry. It has already transformed the way we work, live, and communicate. Taking further, no doubt, AI in talent acquisition, is bound to make the next big wave in the HR industry.

Despite the growing consensus on the ability and efficiency of AI in various tasks, many still remain skeptical of its contribution in those tasks which require not just data but a human-centric approach as well. Talent acquisition is the core task of HR managers across the world, requires understanding and manipulation of data, and also being on top of a situation from a human-centric perspective. IN fact, recruiting top talent is one of the most difficult tasks a company can undertake, and a company that isn’t able to find top talent consistently is unlikely to succeed in the long term.

With the latest advancement in the technology of AI in recruiting, the experts believe that talent acquisition can be handled by AI recruitment tools from both data and human-centric approaches to a greatly satisfactory level. But before we dive deeper into how AI in talent acquisition works, let’s understand the basics.

What is talent acquisition

The definition of talent acquisition may vary depending on whom you ask. However, basically deals with all the resources, processes, and strategies required to identify, recruit and retain the workforce. It generally includes a lot of steps especially the development, implementation, and evaluation programs for sourcing, recruiting, and hiring. 

As part of the talent acquisition process, the HR managers may also have to deal with workforce planning, legal issues, diversity, salary negotiations, and more.

Challenges of talent acquisition

As an HR manager with experience in hiring the best-suited candidate for the job, you must be aware of the various pain points associated with managing talent acquisition end-to-end. Some of the common ones include:

●        Leveraging the potential of the Gig Economy

●        Staying abreast of Digitization

●        Utilizing effective candidate engagement

●        Finding a balanced remuneration scheme

How AI in talent acquisition works

AI in recruiting process is already establishing itself as an indispensable tool to have. One of the greatest concepts behind AI is its ability to create algorithms that can be tailored to specific industries. This idea is one of the most important driving factors behind how AI in talent acquisition.

For example, an algorithm the company develops that is designed to find tech talent would be designed specifically for tech companies and not generic ones. With this specificity in mind, companies can quickly identify what skill sets they need and develop a way of recruiting candidates with those skillsets. Another big benefit of AI in recruiting is the decreased cost of recruiting top talent. By using machines to identify talent, hiring managers don’t have to worry about whether or not a candidate will be a good fit for the job. They simply put out a call for a new hire, and if their algorithm finds someone who matches the job description, that person will apply for the position without any additional work or cost on the hiring manager’s part. 

Hiring managers can also use AI-powered algorithms as a way to speed up their hiring process. Since these systems are able to find potential hires quicker than humans can, it saves time and resources for businesses. Below are some common features of AI recruitment tools:

●        Pulls candidates from a wide range of sources including job boards and social channels

●        Provides a vetted list of candidates that are ready to be interviewed

●        Multi-channel communications including emails, text, and voice

●        Automated interview scheduling and question answering

●        Data-backed insights and analytics for an overview of the recruitment drive

The human approach of AI in recruiting

Can AI be trained to take decisions where HR is believed to be better than just a data-driven tool? Despite skeptics, AI recruiting tools want to promote a sync where humans and machines are rather seen as collaborators. Aiding each other’s capabilities and working as a team to make the entire process of recruitment better.

That said, it’s imperative to notice that AI tools in recruitment are smart enough to mimic a human-like decision when fed with successful data of positive decisions. 

●        As AI learns and trains from data they are fed, it’s the responsibility of humans to understand what kind of data is required for nurturing a machine that can take ethical decisions.

●        In addition to feeding data, humans also carry the responsibility of validating the suggestions or decisions taken by the AI recruitment tool to provide feedback which further refines the AI tool.


Building and maintaining this feedback loop is an integral part of building ethical AI solutions, that are transparent and explainable.

Conclusion

Talent acquisition is one of the most difficult aspects of any business. Paired with a capable team of HRs,  AI in recruiting can be a huge help when it comes to making sure that the right people are brought in and that your company.

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