[Academic] Exploring AI Tools in Recruitment: Insights Needed

Hello, fellow Redditors!

I’m a social science student currently embarking on my master’s thesis, with a focus on the integration of AI in recruitment. I chose this topic somewhat randomly, but now I’m committed to digging deeper. As I don’t have personal connections in the recruiting field and lack direct experience, I’m reaching out to you for insights.

Here’s what I’m hoping to learn about:

  1. Recruitment Stages: What are the common stages in the recruitment process (e.g., preselection, phone/video interviews, in-person interviews, final decisions)? I realize this can vary between companies and roles, but I’m looking for a broad overview to begin with.

  2. AI Tools in Recruitment: What AI tools or platforms (including those that have recently integrated AI features) are currently being utilized in the recruitment process?

  3. AI in Different Stages: At which stages are AI tools most commonly employed, and how do they function? For instance, how do they aggregate candidates based on specific keywords in resumes, such as “C#”? A general understanding will suffice; no need for technical details.

  4. Comparing Methods: Have you or your colleagues noticed any shortcomings of these AI tools in comparison to traditional recruitment methods? Which approach do you prefer—traditional or AI-based tools—and why?

Additionally, it would be helpful if you could share how long you’ve been in the recruitment field and the size of the companies you have worked for (specific names aren’t necessary; I’m aiming for anonymity).

Your honest responses to these questions will greatly inform my research and help shape my study design.

Thank you so much for your assistance!

Best,
Simon