Nicole Inverardi

According to our database, Nicole Inverardi authored at least 9 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Fundamental rights and artificial intelligence impact assessment: A new quantitative methodology in the upcoming era of AI Act.

Samuele Bertaina, Ilaria Biganzoli, Rachele Desiante, Dario Fontanella, Nicole Inverardi, Ilaria Giuseppina Penco, Andrea Claudio Cosentini

Comput. Law Secur. Rev., 2025

2024

Fundamental Rights and AI Impact Assessment: a proposal for a new quantitative approach.

Nicole Inverardi, Samuele Bertaina, Ilaria Biganzoli, Andrea Cosentini, Rachele Desiante, Dario Fontanella, Ilaria Giuseppina Penco

Proceedings of the International Joint Conference on Neural Networks, 2024

Fair Enough? A Map of the Current Limitations of the Requirements to Have Fair Algorithms (Short paper).

Daniele Regoli, Alessandro Castelnovo, Nicole Inverardi, Gabriele Nanino, Ilaria Giuseppina Penco

Proceedings of the AIxIA Discussion Papers 2024 co-located with the 23rd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2024), 2024

2023

Fair Enough? A map of the current limitations of the requirements to have "fair" algorithms.

Alessandro Castelnovo, Nicole Inverardi, Gabriele Nanino, Ilaria Giuseppina Penco, Daniele Regoli

CoRR, 2023

Leveraging Group Contrastive Explanations for Handling Fairness.

Alessandro Castelnovo, Nicole Inverardi, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso

Proceedings of the Explainable Artificial Intelligence, 2023

Bias On Demand: Investigating Bias with a Synthetic Data Generator.

Joachim Baumann, Alessandro Castelnovo, Andrea Cosentini, Riccardo Crupi, Nicole Inverardi, Daniele Regoli

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Bias on Demand: A Modelling Framework That Generates Synthetic Data With Bias.

Joachim Baumann, Alessandro Castelnovo, Riccardo Crupi, Nicole Inverardi, Daniele Regoli

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

An Open-Source Toolkit to Generate Biased Datasets.

Joachim Baumann, Alessandro Castelnovo, Riccardo Crupi, Nicole Inverardi, Daniele Regoli

Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

2022

Investigating Bias with a Synthetic Data Generator: Empirical Evidence and Philosophical Interpretation.

Alessandro Castelnovo, Riccardo Crupi, Nicole Inverardi, Daniele Regoli, Andrea Cosentini

Proceedings of 1st Workshop on Bias, 2022