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What are the challenges of AI in recruitment? (2/3)

New developments in Artificial Intelligence (AI) bring great opportunities to the world of recruitment. However, there is a big elephant in the room: bias. The discussion on bias is much broader than just the effect, it requires an understanding of how governments are developing legislation to create equal opportunities, how bias exposes itself in recruitment and what the link is with the digital ethics of an organization. In this second episode of our series on AI in recruitment, experts from academia, business, and the government will share their expertise on this big topic.

In the first video, What promise does AI hold for recruitment?, experts discussed the basics of AI and how AI could add value to the recruitment function and organizations as whole. AI can lead to reduced (unconscious) bias and increased fairness when used correctly, but also requires great responsibility. However, AI is not a ‘magical tool’ that will automatically lead to better outcomes. Particularly in recruitment, AI can only be as (un)biased as the data that is put into the model. As these AI tools are very powerful, organizations need to be aware of how to use them and what pitfalls to avoid.

The promise of AI in recruitment?

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To address these concerns, this video dives into the question “What are the challenges of AI in recruitment?" Andrew Demetriou and  Cynthia Liem (TU Delft), Annemarie Hiemstra (Erasmus University), Luc Mutsaers (Dutch labour inspection) and Hilary Richters (Deloitte) share their expertise on this topic.Deloitte brings you a series of three videos in which discuss AI and recruitment from their perspective.

The goal of this series is to provide the viewer with the basic answers to the three important questions: 

How to bring AI in recruitment into practice?

Watch the video here

Watch the video here

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