A5093494535- Ethics and Social Impacts of AI
- Big Data and Digital Economy
- Face recognition and analysis
- Scientific Computing and Data Management
- Explainable Artificial Intelligence (XAI)
- Digital Economy and Work Transformation
- European Criminal Justice and Data Protection
- Labor Movements and Unions
- Data Quality and Management
Polytechnic University of Turin
2023-2025
Context. As software systems become more integrated into society's infrastructure, the responsibility of professionals to ensure compliance with various non-functional requirements increases. These include security, safety, privacy, and, increasingly, non-discrimination. Motivation. Fairness in pricing algorithms grants equitable access basic services without discriminating on basis protected attributes. Method. We replicate a previous empirical study that used black box testing audit by...
To promote the responsible development and use of data-driven technologies –such as machine learning artificial intelligence– principles trustworthiness, accountability fairness should be followed. The quality dataset on which these applications rely, is crucial to achieve compliance with required ethical principles. Quantitative approaches measure data are abundant in literature among practitioners, however they not sufficient cover all challenges involved. In this paper, we show that...