04 November, 2025
The role of AI in modern recruitment
One of the biggest changes in recruitment is the use of AI to manage the first steps of the hiring process. In the past, it was common for a recruiter to manually review each incoming CV and application, which was time-consuming and sometimes led to promising candidates being lost in the crowd. Today, AI-powered systems can quickly screen and rank candidates based on specific keywords and qualifications, allowing the recruiter to focus on the most relevant applications.
Automated interviews and candidate analysis
AI's impact on the recruitment process also extends to the interviews themselves. Nowadays, there are AI-based tools that analyse both video and phone interviews to assess a candidate's answers, body language and tone of voice. This allows the recruiter to gain additional insights about a candidate before the in-person interview takes place. While this technology is not yet perfect, it has proven to be useful in identifying the most promising candidates faster.
However, it is important that recruiters are aware that these systems are not without their flaws. An AI model may find it difficult to assess soft skills such as empathy and communication in the same way that a human recruiter can. Therefore, it is recommended that AI is used as a complement rather than a replacement for the human assessment.
Benefits of AI in recruitment
The main benefits of AI in the recruitment process are efficiency and objectivity. By automating parts of the process, employers can more quickly find the candidates who best match the job description, saving time and resources. This also reduces the risk of recruiters missing out on talent in the sheer volume of applications.
In addition, AI provides the opportunity to continuously improve the recruitment process through machine learning. The more recruitments are made, the better the system can get at predicting which candidates are most likely to thrive in a particular role or work environment.
Challenges and risks of using AI in recruitment
Despite the benefits of AI in recruitment, there are also some risks. One of the biggest concerns is that AI systems can reinforce pre-existing biases if not properly trained. If algorithms are trained on data that is biased, they may make decisions that favour some groups and disadvantage others. This is known as 'AI bias' and is something that both recruiters and technology developers need to be aware of.
Another challenge is the use of so-called 'deepfake' technology, where AI can create fake videos or audio recordings that look and sound real. This has started to be used to create fake job interviews and trick employers into thinking a candidate is someone else. The phenomenon poses a significant security risk to both companies and job applicants, and the US FBI has issued warnings to raise awareness of the phenomenon.
AI and the future of recruitment
There is no doubt that AI is here to stay in recruitment. Used correctly, it can streamline the entire process – from selection to interviewing – and contribute to more objective decisions. At the same time, new challenges arise, such as the risk of AI-generated cheating and deepfakes, which places higher demands on security and control.
Background checks play an important role here. By complementing AI-based tools with a thorough check of candidate data, you as an employer get a safer and more accurate recruitment. This combines the efficiency of technology with human judgement - something that is increasingly important in a changing labour market.
Find out more about how DISA can help you quality assure your recruitment with smart background checks when hiring.