activity
20232025
most citedFace Recognition: to Deploy or not to Deploy? A Framework for Assessing the Proportional Use of Face Recognition Systems in Real-World Scenarios

3 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2025

Exploring the Potential of Citiverses for Regulatory Learning

Isabelle Hupont, Marisa Ponti, Sven Schade

Citiverses hold the potential to support regulatory learning by offering immersive, virtual environments for experimenting with policy scenarios and technologies. This paper propos…

cs.CY2024★ 2 cited

AI Cards: Towards an Applied Framework for Machine-Readable AI and Risk Documentation Inspired by the EU AI Act

Delaram Golpayegani, Isabelle Hupont, Cecilia Panigutti +4

With the upcoming enforcement of the EU AI Act, documentation of high-risk AI systems and their risk management information will become a legal requirement playing a pivotal role i…

cs.CY2024★ 3 cited

Face Recognition: to Deploy or not to Deploy? A Framework for Assessing the Proportional Use of Face Recognition Systems in Real-World Scenarios

Pablo Negri, Isabelle Hupont, Emilia Gomez

Face recognition (FR) has reached a high technical maturity. However, its use needs to be carefully assessed from an ethical perspective, especially in sensitive scenarios. This is…

cs.IR2023

Behind Recommender Systems: the Geography of the ACM RecSys Community

Lorenzo Porcaro, João Vinagre, Pedro Frau +2

The amount and dissemination rate of media content accessible online is nowadays overwhelming. Recommender Systems filter this information into manageable streams or feeds, adapted…

cs.CY2023

Use case cards: a use case reporting framework inspired by the European AI Act

Isabelle Hupont, David Fernández-Llorca, Sandra Baldassarri +1

Despite recent efforts by the Artificial Intelligence (AI) community to move towards standardised procedures for documenting models, methods, systems or datasets, there is currentl…