Nicole Inverardi

Orcid: 0009-0006-0048-7455

According to our database1, Nicole Inverardi authored at least 12 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Human Oversight in the AI Act: From Legal Obligation to Operational Safeguards for Fundamental Rights.
Proceedings of the 18th International Conference on Agents and Artificial Intelligence, 2026

2025
Fundamental rights and artificial intelligence impact assessment: A new quantitative methodology in the upcoming era of AI Act.
Comput. Law Secur. Rev., 2025

Fair Enough? A Map of the Current Limitations of the Requirements to Have Fair Algorithms.
Proceedings of TRUST-AI 2025, 2025

When Fundamental Rights Meet Artificial Intelligence: an Extended Framework for Impact Assessment in the Age of Generative AI.
Proceedings of the International Joint Conference on Neural Networks, 2025

2024
Fundamental Rights and AI Impact Assessment: a proposal for a new quantitative approach.
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).
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.
CoRR, 2023

Leveraging Group Contrastive Explanations for Handling Fairness.
Proceedings of the Explainable Artificial Intelligence, 2023

Bias On Demand: Investigating Bias with a Synthetic Data Generator.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Bias on Demand: A Modelling Framework That Generates Synthetic Data With Bias.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

An Open-Source Toolkit to Generate Biased Datasets.
Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

2022
Investigating Bias with a Synthetic Data Generator: Empirical Evidence and Philosophical Interpretation.
Proceedings of 1st Workshop on Bias, 2022


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