Rezultaty
Research documentation on accounting for bias in results (Leader: UNIPI, participation of SCHUFA, SOTON-LS, LUH-L3S) (M24, M42): Reports on research progress and results.
Report on WP2 Integration and application [to be updated]Report on WP2 Integration and application (Leader: CERTH, participation of OU, GESIS-CSS, LUH-IRI) (M24, M42): Reports on integration and application activities related to bias mitigation in algorithms (in collaboration with WP4).
Research documentation on mitigating bias in algorithms [to be updated]D2.1a/b: Research documentation on mitigating bias in algorithms (Leader: OU, participation of GESIS-CSS, CERTH, LUH-IRI) (M24, M42): Reports on research progress and results.
Training Report [to be updated]Training Report (Leader: UNI-KLU; participation: all) (M24, M48). Reports on planning and implementation of training activities and resources.
Report on use cases and applicationsReport on use cases and applications (Leader: SCHUFA, participation: all) (M42). Report on the application of the NoBIAS research in real use cases.
Report on WP3 integration and application [to be updated]Report on WP3 integration and application (Leader: SCHUFA, participation of UNIPI, SOTON-LS, LUH-L3S) (M24, M42): Reports on integration and application activities related to accounting for bias in results (in collaboration with WP4).
Report on WP1 integration and application [to be updated]Report on WP1 integration and application (Leader: LUH-L3S, participation of GESIS-DAS, CERTH, UNIPI, KULEUVEN) (M24, M42): Reports on integration and application activities related to understanding bias in data (in collaboration with WP4).
Research documentation on understanding bias in data [to be updated]D1.1a/b: Research documentation on understanding bias in data (Leader: KULEUVEN, participation of GESIS-DAS, CERTH, UNIPI, LUH-L3S) (M24, M42): Reports on research progress and results.
Living Document and Book on Bias SOTONECS There is to date no established resource that combines the interdisciplinary expertise necessary to address bias in AIdriven decision making NoBIAS will deliver this resource through the establishment of a living training document that will begin with core contributions from academic partners M6 and will be developed by the NoBIAS researchers as part of the interdisciplinary training stream and ultimately be published as a book M42 This process will develop substantive knowledge of interdisciplinary approaches and generic team working and collaborative writing skills
NoBIAS Best Practices and Policy AdviceNoBIAS Policy Advice and Best Practices (UNIPI): NoBIAS will promote the proactive participation of ESRs in initiatives for policy making and best practices with the results of their research and the use cases from their secondments. This will be facilitated by UNIPI's participation in the IEEE P7003 Working Group on Algorithmic Bias Considerations . An introduction to this will be given during Summer School 1. Training of ESRs will benefit from their involvement in such and similar standardization initiatives, e.g., by exploiting outcomes like conceptualizations, methodologies, recommendations, and use cases (such as the bias taxonomy being developed in IEEE P7003).
Book on BiasLiving Document and Book on Bias (SOTON-ECS): There is to date no established resource that combines the interdisciplinary expertise necessary to address bias in AI-driven decision making. NoBIAS will deliver this resource through the establishment of a “living training document” that will begin with core contributions from academic partners (M6) and will be developed by the NoBIAS researchers as part of the interdisciplinary training stream and ultimately be published as a book (M42). This process will develop substantive knowledge of interdisciplinary approaches and generic team working and collaborative writing skills.
NoBias TestbedNoBIAS testbed (LUH-L3S): NoBIAS will create an integrated technology testbed as a crystallization point for the methods and algorithms developed in the project. It will support the evaluation of methods developed in the IRPs in a larger context, foster collaboration, and integrate results from all projects. The testbed will include an open source library of algorithms and methods developed during the project, fostering openness and reproducibility, and facilitating research on related problems.
Dissemination Report Leader LUHL3S participation all M24 M48 Reports on the setup of the project website and social media accounts implementation of the dissemination strategy planning and implementation of the projectrelated events and activities
Publikacje
Autorzy:
Laura State; Salvatore Ruggieri; Franco Turini
Opublikowane w:
Logics in Artificial Intelligence, JELIA 2023, 2023, Strona(/y) 132-141, ISBN 9783031436185
Wydawca:
Springer Science and Business Media Deutschland GmbH
DOI:
10.1007/978-3-031-43619-2_10
Autorzy:
Xuan Zhao, Klaus Broelemann, Salvatore Ruggieri and Gjergji Kasneci
Opublikowane w:
European Conference on Artificial Intelligence, ECAI 2024, 2024
Wydawca:
Accepted for publication
DOI:
10.48550/arxiv.2408.14126
Autorzy:
Laura State
Opublikowane w:
ICLP Workshops, volume 2970 of CEUR Workshop Proceedings, Numer 1, 2021
Wydawca:
CEUR-WS.org
Autorzy:
Carlos Mougan; David Masip; Jordi Nin; Oriol Pujol
Opublikowane w:
Modeling Decisions for Artificial Intelligence, Numer 5, 2021
Wydawca:
Springer
DOI:
10.1007/978-3-030-85529-1_14
Autorzy:
Carlos Mougan, Georgios Kanellos, Thomas Gottron
Opublikowane w:
Workshop on bias and fairness in AI at ECMLPKDD, Numer 1, 2021
Wydawca:
Springer International Publishing
DOI:
10.1007/978-3-030-93736-2_42
Autorzy:
Ruggieri S.; Alvarez J. M.; Pugnana A.; State L.; Turini F.
Opublikowane w:
AAAI Conference on Artificial Intelligence, AAAI 2023, 2023, Strona(/y) 15421-15430, ISBN 9781577358800
Wydawca:
AAAI Press
DOI:
10.1609/aaai.v37i13.26798
Autorzy:
Laura State, Miriam Fahimi
Opublikowane w:
European Workshop on Algorithmic Fairness, EWAF 2023, 2023, Strona(/y) -
Wydawca:
CEUR-WS.org
Autorzy:
Carlos Mougan, George Kanellos, Johannes Micheler, Jose Martinez, Thomas Gottron
Opublikowane w:
Irving Fisher Committee (IFC) - Bank of Italy workshop on Data science in central banking: Applications and tools, 2021
Wydawca:
Arxiv
Autorzy:
Carlos Mougan; Jose Manuel Alvarez; Salvatore Ruggieri; Steffen Staab
Opublikowane w:
AAAI/ACM Conference on AI, Ethics, and Society, AIES 2023, 2023, Strona(/y) 454-465, ISBN 9798400702310
Wydawca:
Association for Computing Machinery, Inc
DOI:
10.1145/3600211.3604657
Autorzy:
Laura State, Alejandra Bringas Colmenarejo, Andrea Beretta, Salvatore Ruggieri, Franco Turini, Stephanie Law
Opublikowane w:
European Workshop on Algorithmic Fairness, EWAF 2023, 2023, ISBN 161300733442
Wydawca:
CEUR Workshop Proceedings
Autorzy:
Alaa Elobaid, Nathan Ramoly, Lara Younes, Symeon Papadopoulos, Eirini Ntoutsi, Ioannis Kompatsiaris
Opublikowane w:
2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG), Numer 2, 2024, Strona(/y) 1-9
Wydawca:
IEEE
DOI:
10.1109/fg59268.2024.10582012
Autorzy:
Pieter Delobelle, Kristen M. Scott, Sonja Mei Wang, Milagros Miceli, David Hartmann, Tianling Yang, Elena Murasso, Karolina Sztandar-Sztanderska, Bettina Berendt
Opublikowane w:
International workshop on Fair, Effective And Sustainable Talent management using data science, 2021
Wydawca:
FEAST Workshop
Autorzy:
Laura State; Hadrien Salat; Stefania Rubrichi; Zbigniew Smoreda
Opublikowane w:
World Conference on eXplainable Artificial Intelligence, xAI 2023, 2023, Strona(/y) 110-125, ISBN 9783031440663
Wydawca:
Springer Science and Business Media Deutschland GmbH
DOI:
10.1007/978-3-031-44067-0_6
Autorzy:
Zhao X.; Broelemann K.; Ruggieri S.; Kasneci G.
Opublikowane w:
IEEE International Conference on Big Data (BigData 2023), 2023, Strona(/y) 1386-1394, ISBN 9798350324464
Wydawca:
Institute of Electrical and Electronics Engineers Inc.
DOI:
10.1109/bigdata59044.2023.10386836
Autorzy:
Laura State
Opublikowane w:
AAAI/ACM Conference on AI, Ethics, and Society, AIES 2022, 2022, Strona(/y) 916, ISBN 978-1-4503-9247-1
Wydawca:
ACM
DOI:
10.1145/3514094.3539544
Autorzy:
Simone Fabbrizzi, Symeon Papadopoulos, Eirini Ntoutsi, Ioannis Kompatsiaris
Opublikowane w:
Numer 1, 2021
Wydawca:
Arxiv
Autorzy:
Filippo Palomba, Andrea Pugnana, José M. Álvarez, Salvatore Ruggieri
Opublikowane w:
2024
Wydawca:
Unpublished manuscript
DOI:
10.48550/arxiv.2405.18902
Autorzy:
Paula Reyero Lobo, Enrico Daga, Harith Alani, Miriam Fernandez
Opublikowane w:
Semantic Web Journal, 2021
Wydawca:
Semantic Web Journal
Autorzy:
José M. Álvarez, Salvatore Ruggieri
Opublikowane w:
2024
Wydawca:
Unpublished manuscript
DOI:
10.48550/arxiv.2405.13693
Autorzy:
Alvarez, Jose M.; Ruggieri, Salvatore
Opublikowane w:
2024
Wydawca:
Unpublished manuscript
DOI:
10.48550/arxiv.2401.13408
Autorzy:
Maria-Esther Vidal, Mayra Russo, Philipp Rohde
Opublikowane w:
2021
Wydawca:
Nomos Verlagsgese llschaft
Autorzy:
José Alberto Benítez-Andrades, María Teresa García-Ordás, Mayra Russo, Ahmad Sakor, Luis Daniel Fernandes Rotger, Maria-Esther Vidal
Opublikowane w:
Semantic Web, Numer 14, 2023, Strona(/y) 873-892, ISSN 1570-0844
Wydawca:
IOS Press
DOI:
10.3233/sw-223269
Autorzy:
Antonio Ferrara, Francesco Bonchi, Francesco Fabbri, Fariba Karimi, Claudia Wagner
Opublikowane w:
Data Mining and Knowledge Discovery, Numer 38, 2024, Strona(/y) 2062-2086, ISSN 1384-5810
Wydawca:
Kluwer Academic Publishers
DOI:
10.1007/s10618-024-01024-z
Autorzy:
Jose M. Alvarez; Alejandra Bringas Colmenarejo; Alaa Elobaid; Simone Fabbrizzi; Miriam Fahimi; Antonio Ferrara; Siamak Ghodsi; Carlos Mougan; Ioanna Papageorgiou; Paula Reyero; Mayra Russo; Kristen M. Scott; Laura State; Xuan Zhao; Salvatore Ruggieri
Opublikowane w:
Ethics and information technology, Numer 26, 2024, Strona(/y) 31, ISSN 1572-8439
Wydawca:
Springer
DOI:
10.1007/s10676-024-09746-w
Autorzy:
Matilde Lazzari; Jose M. Alvarez; Salvatore Ruggieri
Opublikowane w:
International Journal of Data Science and Analytics, Numer 14, 2022, Strona(/y) 279–292, ISSN 2364-4168
Wydawca:
Springer
DOI:
10.1007/s41060-022-00329-w
Autorzy:
Kristen Scott, Pieter Delobelle, Bettina Berendt
Opublikowane w:
Computational Linguistics in the Netherlands Journal, Numer 11, 2021, Strona(/y) 161 - 171, ISSN 2211-4009
Wydawca:
Computational Linguistics in the Netherlands
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