6 papers
Analysis Of Linguistic Stereotypes in Single and Multi-Agent Generative AI Architectures
Martina Ullasci, Marco Rondina, Riccardo Coppola +6
Many works in the literature show that LLM outputs exhibit discriminatory behaviour, triggering stereotype-based inferences based on the dialect in which the inputs are written. Th…
Gender Bias in Generative AI-assisted Recruitment Processes
Martina Ullasci, Marco Rondina, Riccardo Coppola +1
In recent years, generative artificial intelligence (GenAI) systems have assumed increasingly crucial roles in selection processes, personnel recruitment and analysis of candidates…
An Empirical Investigation of Gender Stereotype Representation in Large Language Models: The Italian Case
Gioele Giachino, Marco Rondina, Antonio Vetrò +2
The increasing use of Large Language Models (LLMs) in a large variety of domains has sparked worries about how easily they can perpetuate stereotypes and contribute to the generati…
Completeness of Datasets Documentation on ML/AI repositories: an Empirical Investigation
Marco Rondina, Antonio Vetrò, Juan Carlos De Martin
ML/AI is the field of computer science and computer engineering that arguably received the most attention and funding over the last decade. Data is the key element of ML/AI, so it…
Testing software for non-discrimination: an updated and extended audit in the Italian car insurance domain
Marco Rondina, Antonio Vetrò, Riccardo Coppola +5
Context. As software systems become more integrated into society's infrastructure, the responsibility of software professionals to ensure compliance with various non-functional req…
Facial Analysis Systems and Down Syndrome
Marco Rondina, Fabiana Vinci, Antonio Vetrò +1
The ethical, social and legal issues surrounding facial analysis technologies have been widely debated in recent years. Key critics have argued that these technologies can perpetua…