How to Implement AI in Your Recruiting Strategy

Artificial intelligence (AI) is proving to be useful in recruitment: 96% of HR managers believe AI can improve their talent acquisition dramatically, according to a study by Randstat. Hiring teams are using AI throughout the recruitment process to make it faster, easier, and less expensive to find the right candidate for every open role. 

More than 50% of companies are already using AI-related technology to transform and improve their talent management processes. There are dozens of applications for AI throughout the hiring funnel, from sourcing candidates to scheduling interviews to employer branding. If your company is on the path to implementing AI in your recruiting strategy, here are some tips and best practices to consider. 

What is the role of AI in recruiting?

AI recruiting integrates artificial intelligence, such as machine learning or predictive algorithms, into the time-consuming or resource-intensive parts of hiring. 

AI can be a powerful tool to improve efficiency in recruitment. By automating time-consuming tasks such as screening, skill testing, and interviewing, AI can free up HR and talent teams to focus on more strategic initiatives, such as attracting candidates, onboarding new hires, and retaining employees.

Here are some specific ways that AI can be used to make hiring easier and more effective:

  • Sourcing: AI can be used to draw in qualified candidates, distributing blog posts automatically on LinkedIn, Facebook, Twitter, and through your employee advocacy program. This can boost candidate referrals and expand the reach of your job ads. 
  • Screening: AI can be used to screen resumes and applications for keywords and skills that are relevant to the open position. This can help to quickly identify qualified candidates and reduce the time spent on manual screening.
  • Skill testing: AI can be used to administer skill tests to candidates. This can help to assess candidates’ skills and abilities in a more objective and efficient manner than traditional methods, such as interviews.
  • Interviewing: AI can be used to conduct video interviews with candidates. This can help to save time and money on travel expenses, and it can also provide a more consistent interview experience for all candidates.

AI can also help to improve the quality of hiring decisions. By using AI to collect and analyze data from a variety of sources, such as resumes and social media profiles, talent teams can gain a more complete understanding of each candidate. This can help them to make more informed hiring decisions that are more likely to lead to successful hires.

Let’s dive deeper into how AI recruiting technology can be used at each of these stages of the hiring process. 

Sourcing talent with AI recruiting technology

AI can help recruiters find and connect with talent faster. There are many applications for artificial intelligence in sourcing active and passive candidates. Some tools can be used to actively search for profiles across job boards, social media, or internal databases, and then invite candidates to apply for a specific, open position. 

Other AI recruitment tools take on employer branding efforts, helping to maximize marketing efforts and social media recruiting campaigns. Clearview Social, for example, makes it easy to plan, post, and measure content shared on behalf of the brand. Companies can use it to efficiently find fresh, high-quality content to engage passive candidates and build a strong employer brand. Clearview Social helps HR and recruiting professionals to draw in talent quicker and at a lower cost. 

Many companies use AI for screening applicants

Many talent acquisition teams also use AI automated recruiting technology that includes everything from resume parsing tools to behavioral and skill assessments. Companies like Vervoe, Recruiterbox, and Ideal use AI in skill tests to try to match candidates with open positions, evaluating candidates at scale and removing bias from the hiring process. 

AI recruiting technology can also speed up interviewing

There are a few ways that businesses are using AI for interviewing. Pre-recorded video interviews are the most common, in which a candidate is filmed answering a question as part of a skills assessment. AI then can analyze the video for transcription or even evaluate the answer for the recruiting team. 

Companies like Unilever, Google, and Facebook have also begun to use artificial intelligence to assess video interviews. The AI analyzes the candidates’ voices and facial expressions to understand someone’s personality traits. This process can help cut down on the time and attention required of recruiters to review each candidate’s recorded response. 

However, there are some big red flags with using facial recognition to select or reject candidates, so we won’t recommend putting too much trust in AI’s ability to ultimately determine who would be a good fit for the job. 

What are the potential challenges of implementing AI in recruiting? 

Artificial intelligence has some risks, depending on the way in which you integrate it into your recruiting process. Primarily, AI systems can be biased if they are trained on data that is biased. This can lead to AI systems making discriminatory hiring decisions. Amazon’s experience offers a cautionary tale for how AI recruitment can go wrong. 

In 2014, Amazon developed a resume screening tool to help their recruiters find good talent fast. A year later, the brand quietly stopped using it after discovering that the AI showed bias against women for technical roles. Essentially, even if someone was the best developer in the world, the system would pass them over if they were a woman.

The risk of an AI system replicating human bias goes far past missing out on well-qualified talent. Unfair hiring can cause up to $300,000 in punitive damages

Ultimately, AI is best used for automating manual, time-consuming tasks within the recruiting process: things like distributing job posts, employee advocacy, and boosting candidate referrals. 

Watch: Webinar: Winning on Recruitment and Retention

Getting started with AI-driven recruiting

Companies interested in integrating AI into their recruitment process should start small. Pick one aspect of the recruitment process that can benefit from AI-driven automation. What do you hope to achieve by integrating AI into your recruiting process? Do you want to improve efficiency, reduce costs, or make better hiring decisions? 

Once you know your goals, you can start to look for AI solutions that can help you achieve them. There are several AI vendors that offer solutions for the recruiting process. Clearview Social offers easy-to-use AI features designed to save you time and effort while helping to improve ROI. Our AI integrates directly into your existing approval workflows and compliance checks, making it easy to start seeing the benefits of recruitment AI. 

Learn more about how Clearview Social can help your business improve its hiring outcomes: contact us and book a free demo today.