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.
Indeed Talent Scout is an AI-powered, conversational assistant that lets employers interact with it directly to find and evaluate candidate resumes. You can ask Talent Scout questions, such as:
- “Show me candidates with strong project management skills, even if they come from different industries.”
- “Find candidates who have a specific license or technical skill, like RN certification or Java.”
- “Can you show me candidates with team sports experience or who have worked at a particular company?”
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 a shorter period, 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.
Smarter sourcing and targeting
Tools like Talent Scout enhance efficiency by helping employers focus on high-potential candidates and optimize job postings, saving time while improving the quality of your applicant pool.
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 accurate. You may see false positives, where resumes are included even though they don’t meet your standards. False negatives can also happen, where qualified candidates are excluded.
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.
AI resume screening: key takeaways
AI resume screening is a powerful tool for employers looking to speed up hiring, improve candidate quality and make data-driven decisions.
By combining traditional AI screening methods with tools like Indeed Talent Scout, you can not only streamline the shortlisting process but also connect with hard-to-find candidates, optimize job postings and assess skills and fit more effectively.
