Alessandro Fabris
Scholar

Alessandro Fabris

Google Scholar ID: WjJVK94AAAAJ
University of Trieste
Algorithmic FairnessAlgorithmic AuditingData GovernanceQuantification
Citations & Impact
All-time
Citations
611
 
H-index
11
 
i10-index
12
 
Publications
20
 
Co-authors
13
list available
Resume (English only)
Academic Achievements
  • Publications: Published multiple papers in international journals and conferences. Awards: Received the Elena Cornaro Award (for gender studies), IP&M Best Ph.D. Paper Award, and a Humboldt Research Fellowship. Advised five AI providers on compliance at the EU AI Act Grand Challenge. Research featured on national TV and international press.
Research Experience
  • Work Experience: Four years in industry at IBM and Electrolux, two years at the Max Planck Institute for Security and Privacy. Currently, an assistant professor (tenure track) at the University of Trieste. Involved in several research projects, including the practical implementation of the AI Act.
Education
  • Ph.D. Advisor: Asia Biega; Degree Awarding Institution: Max Planck Institute for Security and Privacy.
Background
  • Research Interests: Algorithmic fairness and auditing of artificial intelligence systems. Professional Field: Computer Science. Brief Introduction: An assistant professor (tenure track) at the University of Trieste, focusing on defining, operationalizing, and measuring fairness, with a particular emphasis on domain-specific requirements and a critical perspective on data management and ethics.
Miscellany
  • Personal Interests: Enjoys interdisciplinary collaboration and using mixed methods to tackle complex socio-technical questions.