Sebastian Krauss
My name is Sebastian and I work as an AI Test Engineer at Validaitor. With a background in Mechatronics and Autonomous Systems, and hands-on experience at Bosch, Fraunhofer, and in international research settings, I focus on the intersection of AI trustworthiness and real-world deployment. My current work involves developing methods to test AI models for vulnerabilities, safety risks, and secure behavior - ensuring AI systems perform reliably and ethically. I like to share my experience with other techies all around the world. When I don't look into a screen, I like bouldering and books. :)
Session
AI recruiting systems are increasingly used to filter, rank, and select applicants at scale. Yet their deployment raises essential questions: How reliable are these models in real hiring environments, and how do we ensure fairness and safety across diverse applicant profiles? This talk presents a structured approach to testing and validating AI-driven recruiting pipelines. It highlights the role of synthetic test data, data augmentation, and fairness metrics in uncovering systemic risks and mitigating bias. Attendees will walk through a complete evaluation workflow. The session also incorporates insights from real-world testing practices, demonstrating how rigorous validation can increase trust and transparency in recruitment AI.