IRIS è il sistema di gestione integrata dei dati della ricerca adottato dalla Luiss Guido Carli. Il Catalogo dei prodotti della ricerca della Luiss raccoglie e rende disponibile, dove possibile nel rispetto del diritto d'autore, la produzione scientifica del personale docente di ruolo, delle dottorande e dei dottorandi, e delle assegniste e assegnisti di ricerca dell'Ateneo. Il Catalogo alimenta inoltre i siti docenti del MUR.
Aesthetics is a core elements of luxury products. While previous research has highlighted that aesthetics contributes to luxury products’ appeal, the present research investigates the effect of luxury product aesthetics on sustainable consumption. In particular, the core argument advanced is that one key aesthetic characteristic of luxury products, namely its symmetry, leads consumers to use them longer (rather than disposing them). Four experiments demonstrate that the symmetric (vs. asymmet...
This book explores the profound impact of being observed in the marketplace and how it shapes consumer behavior in the digital age. As technology and AI become integral to business operations, consumers increasingly feel observed, influencing their decision-making processes. "The Corporate Gaze" delves into this emerging phenomenon, offering insights into consumer perceptions and the broader implications for marketing strategies. Key concepts include the evolution of surveillance from the ...
Machine Unlearning (MU) is an emerging research area that enables models to selectively forget specific data, a critical requirement for privacy compliance (e.g., GDPR, CCPA) and security. However, the lack of standardized benchmarks makes evaluating and developing unlearning methods difficult. To address this gap, we introduce ERASURE, a benchmarking and development framework designed to systematically assess MU techniques. ERASURE provides a modular, extensible, open-source environment with...
Machine unlearning, the process of removing specific data influences from Machine Learning models, is critical for complying with regulations like the GDPR’s right to be forgotten and addressing copyright disputes in large models. Despite its rising importance, the field still lacks standardized tools, hindering reproducibility and evaluation. Here, we present, in an extensive way, ERASURE, a unified framework enabling reproducibility by implementing common unlearning techniques, evaluatio...