AI in recruitment offers efficiency gains amid risks of bias and integrity failures

Artificial intelligence is fundamentally reshaping talent acquisition, offering significant efficiency gains while introducing new risks regarding bias and integrity. Tools such as Manatal, Humanly, and Paradox can reduce initial CV screening time by up to 80 percent by automating repetitive tasks like scheduling and basic candidate ranking.

However, experts warn that over-reliance on algorithms can lead to critical failures. In the engineering sector, a paradox has emerged where candidates are often penalized for using AI tools during interviews, even though the professionals conducting the interviews and the engineers performing the actual jobs rely heavily on them. This creates a disconnect between interview performance and real-world productivity.

Furthermore, there are significant concerns regarding algorithmic discrimination. Even when sensitive data like gender or age is removed, AI can reproduce historical inequalities through seemingly neutral criteria like experience or mission counts. Under the European AI Act, recruitment systems are classified as high-risk, requiring companies to rigorously evaluate their impact to prevent the amplification of existing social biases.