What is AI resume screening?
AI resume screening is the process of using machine learning to identify high-quality candidates to move forward through the recruitment process.
Unlike traditional applicant tracking software (ATS) that often reviews resumes using a fixed set of criteria, an AI system learns based on feedback you give it and improves its algorithm in response. As a result, the system can become more precise and efficient over time.
Types of AI for resume screening
There are three main types of AI for resume screening:
- Keyword-based: This type of AI looks for specific phrases and patterns of text, prioritizing candidates’ resumes that feature the right words.
- Grammar-based: This AI screening tool can break down phrases and sentences to gain an understanding of what a resume says and then use this information to identify quality candidates.
- Statistical: Instead of using text, statistical AI systems utilize numerical data, such as timelines or the density of certain words on a resume, to select quality candidates.
Pros of resume screening using machine learning
Using AI resume screening tools offers a few key benefits for employers, including the following.
Improved staffing levels
AI resume screening tools can compile a list of quality candidates in a fraction of the time it takes a human to produce one. As a result, AI can expedite the hiring process, allowing you to start interviewing for open positions much more quickly. In turn, positions will remain vacant for less time, reducing strain on your existing team and improving morale.
Better candidate experience
With AI screening resumes, candidates will generally know sooner whether they’ve progressed to an interview or are no longer being considered for a position. Less wait time means a better candidate experience and increases the chances that an individual may reapply in the future for a position they may fit better.
Related: What Is Candidate Experience (and How to Create a Positive One)
Cons of resume screening using machine learning
For all its benefits, AI resume screening does have some drawbacks, which may include the following.
Risk for AI bias
Be aware that bias can exist in AI.
Possibility of false negatives and positives
The short list generated by AI may not always be flawless. You can end up with false positives and resumes that make it through the cut but don’t meet your standards. False negatives can also occur, allowing quality candidates to slip through the cracks.
Less opportunity for relationship building
Relationship building, the process of developing a pool of quality candidates you can draw from when positions open, is vital to proactive hiring.
When you use AI to screen resumes, only the short-listed candidates are likely to receive personal messages from your recruiting team. While this saves time, it also means you won’t have the opportunity to start relationships with the other applicants who may be well-suited to positions you’ll need to fill in the future.
