Fair AI

AI is transforming the hiring process. Whether you have actively integrated it or are using an external solution, chances are AI is already playing a role in your recruitment. Candidates embrace AI for CVs and cover letters, while Talent Acquisition teams use it for job descriptions and evaluations.

The promise? Faster processes, reduced workload and more objective hiring decisions. But there is a catch – AI bias. Hidden biases (beyond gender and racial discrimination) impact who gets shortlisted, who gets overlooked and, ultimately, who gets hired.

If you’re curious about AI bias in recruitment – how to detect it, what impact it has and, most importantly, what you can do about it, this meetup is for you.

Join us as we explore key strategies to ensure AI enhances your hiring process without filtering out top talent. Learn how to build a fairer, smarter and more effective recruitment system. We will discuss all the above in a no-nonsense, practical way that does not require you to be a data scientist or an IT professional.

As we want to make sure that we prepare content that is of interest, please note that this event will only take place if at least 10 participants register.

Building fair and effective recommender systems isn’t always easy—how do you strike the right balance between maximizing customer purchases and keeping your suppliers satisfied? Ensuring fairness while still attracting new and exciting vendors can be a tricky challenge.
In this session, we’ll explore proven strategies to enhance vendor satisfaction without compromising sales. You’ll gain insights into how AI-driven recommendations can create a win-win ecosystem where both customers and suppliers thrive. Join us to learn how to fine-tune your approach and build a more balanced, successful marketplace!