Artificial Intelligence in HR: the change towards recruiting 4.0
Artificial Intelligence plays an increasingly important role in modern HR and recruiting. In fact, AI has radically changed the way companies select candidates, making the CV screening phase faster and more efficient in order to identify candidates who best match the requirements for a specific job position. Nowadays, HR managers and experts can exploit AI tools and applications based on machine learning algorithms and data analysis techniques to screen Cvs, process and analyze a large amount of information, making recruiting operations more accurate.
According to Human Resource Executive, the leading HR news institution, Artificial Intelligence is the secret weapon of HR professionals relieving them of repetitive and monotonous mechanical tasks, giving them instead more time and energies for activities that require human skills like empathy, creativity and great communication. The best pro for HR teams regards the evaluation of candidates, uncovering aspects that would otherwise be unnoticed. Indeed, Artificial Intelligence applied to recruiting makes it possible to consider all candidates to identify the most relevant experience, background and qualifications, unlike traditional recruiting methods that forced recruiters to reduce the talent pool to a dimension that could be realistically assessed in a recruitment session.
Artificial Intelligence in HR: benefits for the CV screening
The use of Artificial Intelligence tools in HR for CV screening gives companies three advantages:
- saving time and resources, adopting tools such as ATS (Applicant Tracking System), which compare CVs with predetermined parameters, and so speeding up initial screening to allow HR professionals to focus on more important tasks, such as preparing and conducting interviews with selected candidates;
- analyzing a much larger amount of data and information than a human could, providing a more complete view of candidates and their skills;
- reducing subjectivism in evaluating candidates, as AI algorithms are much more objective and less influenced by certain prejudices or personal opinions (even if the ethics of AI is still a very delicate topic); this more likely guarantees an impartial selection helping companies to find the most qualified candidates suitable for the position needed to be filled in the organization.
How to write an algorithm-proof CV? The AI-based recruiting challenge
The European CV is the most used format for applying for a job position, but with the advent of Artificial Intelligence, a simple list of experiences and qualifications is no longer enough to be selected. Writing an algorithm-proof CV optimized to be read by ATS softwares is key to increase the odds of being noticed and selected by recruiters.
Here are some tips for writing an algorithm-proof CV matching AI reading methods:
- use relevant keywords according to the job offer and include theme in your CV, especially in the skills and professional experience section;
- choose simple and effective formatting, so avoid complex layouts and opt for a plain text format without columns or tables;
- divide your CV into clear and organized sections (education, work experience, skills, etc), making it easily readable and well structured;
- use clear titles and (if needed) subtitles for each section to distinguish the different responsibilities held and skills acquired;
- if possible, include quantified results by using numbers and concrete data related to the results achieved as algorithm read them much easier than words;
- choose simple graphics and avoid excessive use of images or complex graphic elements because AI may not be able to interpret these components correctly;
- use action verbs (e.g.“coordinated,” “managed,” “organized”, etc.) to describe your responsibilities and skills more precisely;
- personalize your CV for each position, so adapt it and change keywords based on the specific job posting requirements;
- include links to your LinkedIn profile or portfolio to provide additional updated information and demonstrate your skills;
- make sure your CV gets revised by a human reviewer too, to correct any spelling and grammatical errors, ensure that’s well written and identify any formatting or readability issues that algorithms may miss.
Best AI tools for CV screening and human resources management
A CV screening and HR management AI tool is a technological support that finds and collects job applicants’ resumes considering the requirements for the positions. Then, the ATS selects the available CVs according to specific required qualifications, whether it’s education career, work experience, hard and soft skills or achievements. These tools aim to find the best talents without any cases of biases and discrimination, while the overall hiring process gets streamlined.
Let’s take a look at some of the best AI tools for CV screening and HR management:
Tool n.1, Lever. It leverages an integrated platform combining an Applicant Tracking System (ATS) with a candidate management system and facilitating candidate growth, seamlessly integrating with more software solutions throughout the recruitment process. It’s particularly effective in sourcing candidates for senior or executive positions. Additionally, its user-friendly interface can accommodate non-tech individuals and props up a report and feedback system, automatic engagement with candidates and analytics.
Tool n.2, CVViZ. Is an advanced AI-powered resume screening software designed for expeditious recruiting which operates on a cloud-based platform and securely stores CVs, integrating more detailed screening tools. Using intelligent relative ranking, it ensures swift and efficient recruitment processes and aligns candidate qualifications with the specific talent management parameters, providing candidates rankings based on the requirements of the management for the open job position. Furthermore, it uses an automatic tracking system able to filter duplicated resumes.
Tool n.3, Ideal. It’s an AI-driven automated resume screening software which analyzes and shortlists candidates based on their qualifications. This tool minimizes the risk of hiring discrimination by filtering resumes according to specified keywords. Moreover, it has the capability to identify individuals with a higher likelihood of being hired, thereby streamlining the recruitment process and reducing time spent on candidate evaluation. In addition, it automatically shows the candidate’s growth, assesses candidates’ skills and know-hows promotes equality and candidate engagement.
Tool n.4, SmartRecruiters. It facilitates the identification of top candidates through the integration of AI, CRM, and ATS and provides businesses with the possibility to conduct cost-effective recruitment sessions. The platform offers customized digital landing pages that speed up onboarding processes. The system enhances effective communication and collaboration within hiring teams, fostering swift decision-making and hiring processes and enabling candidates to track their progress and get feedback seamlessly. Furthermore, it conducts comprehensive background checks across various job platforms and integrates the use of mobile apps.
Tool n.5, Employa. It serves as an intelligent recruitment assistant that efficiently handles time-consuming tasks such as screening, ranking and data enrichment. Supported by AI, it sifts through resumes, discarding unsuitable CVs and presenting a ranked list of candidates tailored with the recruitment requirements. Beyond this quite precise and accurate algorithm, it boasts a user-friendly interface as well, allowing easy setup of unlimited search criteria and investigation into rejection reasons. It seamlessly operates as a standalone tool or even as an extension to Applicant Tracking Systems (ATS). It also works as an effective employer brand tool, providing an improved candidate experience.
