Software Systems Compliance with the AI Act-Reference-Cited by-同舟云学术

Software Systems Compliance with the AI Act

Published:2024-04-16 Issue: Volume:91 Page:44-51
ISSN:
Container-title:Proceedings of the 2nd International Workshop on Responsible AI Engineering
language:
Short-container-title:

Author:

Scantamburlo Teresa¹^ORCID,Falcarin Paolo¹^ORCID,Veneri Alberto²^ORCID,Fabris Alessandro³^ORCID,Gallese Chiara⁴^ORCID,Billa Valentina⁵^ORCID,Rotolo Francesca⁶^ORCID,Marcuzzi Federico¹^ORCID

Affiliation:

1. DAIS, Ca' Foscari University of Venice, Venice, Italy

2. DAIS, Ca' Foscari University of Venice & ISTI-CNR, Venice, Italy

3. Max Planck Institute for Security and Privacy, Bochum, Germany

4. University of Turin, Turin, Italy

5. Aude - In2Law, Milan, Italy

6. Ca' Foscari University of Venice, Venice, Italy

Funder

European Union?s Horizon Europe program - DataCom Project

European Union?s Horizon Europe program - FINDHR (Fairness and Intersectional Non-Discrimination in Human Recommendation)

Ca' Foscari IRIDE program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3643691.3648589

Reference52 articles.

1. Defense Advanced Rsearch Projects Agency. 2023. DARPA Robotics Challenge. https://www.darpa.mil/news-events/drc-finals

2. NIST AI. 2023. Artificial Intelligence Risk Management Framework (AI RMF 1.0). (2023).

3. Solon Barocas, Moritz Hardt, and Arvind Narayanan. 2023. Fairness and Machine Learning: Limitations and Opportunities. MIT Press.

4. Rachel K. E. Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Jacquelyn Martino, Sameep Mehta, Aleksandra Mojsilovic, Seema Nagar, Karthikeyan Natesan Ramamurthy, John Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, and Yunfeng Zhang. 2018. AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias. https://arxiv.org/abs/1810.01943

5. Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science