Rezultaty
D11ab Research documentation on understanding bias in data Leader KULEUVEN participation of GESISDAS CERTH UNIPI LUHL3S 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 GESISCSS LUHIRI 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]D21ab Research documentation on mitigating bias in algorithms Leader OU participation of GESISCSS CERTH LUHIRI M24 M42 Reports on research progress and results
Research documentation on accounting for bias in results [to be updated]Research documentation on accounting for bias in results Leader UNIPI participation of SCHUFA SOTONLS LUHL3S M24 M42 Reports on research progress and results
Report on WP1 integration and application [to be updated]Report on WP1 integration and application Leader LUHL3S participation of GESISDAS CERTH UNIPI KULEUVEN M24 M42 Reports on integration and application activities related to understanding bias in data in collaboration with WP4
Training Report [to be updated]Training Report Leader UNIKLU participation all M24 M48 Reports on planning and implementation of training activities and resources
Report on WP3 integration and application [to be updated]Report on WP3 integration and application Leader SCHUFA participation of UNIPI SOTONLS LUHL3S M24 M42 Reports on integration and application activities related to accounting for bias in results in collaboration with WP4
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
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:
Simone Fabbrizzi, Symeon Papadopoulos, Eirini Ntoutsi, Ioannis Kompatsiaris
Opublikowane w:
Numer 1, 2021
Wydawca:
Arxiv
Autorzy:
Paula Reyero Lobo, Enrico Daga, Harith Alani, Miriam Fernandez
Opublikowane w:
Semantic Web Journal, 2021
Wydawca:
Semantic Web Journal
Autorzy:
Maria-Esther Vidal, Mayra Russo, Philipp Rohde
Opublikowane w:
2021
Wydawca:
Nomos Verlagsgese llschaft
Autorzy:
Laura State
Opublikowane w:
ICLP Workshops, volume 2970 of CEUR Workshop Proceedings., Numer 1, 2021
Wydawca:
CEUR-WS
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:
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:
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:
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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