Alessandro

Fabris

Max Planck Institute for Security and Privacy (DE)

Alessandro Fabris is a research fellow at the Max Planck Institute for Security and Privacy, supported by the Humboldt Foundation and the FINDHR project on fairness and non-discrimination in algorithmic hiring. He studies algorithmic fairness and auditing in information access systems. His research centers on defining, operationalizing, and measuring fairness, with a focus on domain-specific requirements, and a critical perspective on data ethics. He spent four years in industry working with IBM and Electrolux. He aims to guide and translate policy into responsible computing practices that can be understood and adopted by practitioners.