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Artificial Intelligence without Bias

Deliverables

Living Document on Bias

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 [to be updated]

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

Publications

A Survey on Bias in Visual Datasets

Author(s): Simone Fabbrizzi, Symeon Papadopoulos, Eirini Ntoutsi, Ioannis Kompatsiaris
Published in: Issue 1, 2021
Publisher: Arxiv

Semantic Web Technologies and Bias in Artificial Intelligence: A Systematic Literature Review

Author(s): Paula Reyero Lobo, Enrico Daga, Harith Alani, Miriam Fernandez
Published in: Semantic Web Journal, 2021
Publisher: Semantic Web Journal

Data Privacy Issues in Big Biomedical Data

Author(s): Maria-Esther Vidal, Mayra Russo, Philipp Rohde
Published in: 2021
Publisher: Nomos Verlagsgese llschaft

Logic programming for XAI: A technical perspective

Author(s): Laura State
Published in: ICLP Workshops, volume 2970 of CEUR Workshop Proceedings, Issue 1, 2021
Publisher: CEUR-WS.org

Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems

Author(s): Carlos Mougan; David Masip; Jordi Nin; Oriol Pujol
Published in: Modeling Decisions for Artificial Intelligence, Issue 5, 2021
Publisher: Springer
DOI: 10.1007/978-3-030-85529-1_14

Desiderata for Explainable AI in statistical production systems of the European Central Bank

Author(s): Carlos Mougan, Georgios Kanellos, Thomas Gottron
Published in: Workshop on bias and fairness in AI at ECMLPKDD, Issue 1, 2021
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-93736-2_42

Introducing explainable supervised machine learning into interactive feedback loops for statistical production system

Author(s): Carlos Mougan, George Kanellos, Johannes Micheler, Jose Martinez, Thomas Gottron
Published in: Irving Fisher Committee (IFC) - Bank of Italy workshop on Data science in central banking: Applications and tools, 2021
Publisher: Arxiv

Sum of Group Error Differences: A Critical Examination of Bias Evaluation in Biometric Verification and a Dual-Metric Measure

Author(s): Alaa Elobaid, Nathan Ramoly, Lara Younes, Symeon Papadopoulos, Eirini Ntoutsi, Ioannis Kompatsiaris
Published in: 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG), Issue 2, 2024, Page(s) 1-9
Publisher: IEEE
DOI: 10.1109/fg59268.2024.10582012

Time to Question if We Should: Data-Driven and Algorithmic Tools in Public Employment Services

Author(s): Pieter Delobelle, Kristen M. Scott, Sonja Mei Wang, Milagros Miceli, David Hartmann, Tianling Yang, Elena Murasso, Karolina Sztandar-Sztanderska, Bettina Berendt
Published in: International workshop on Fair, Effective And Sustainable Talent management using data science, 2021
Publisher: FEAST Workshop

Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts

Author(s): José Alberto Benítez-Andrades, María Teresa García-Ordás, Mayra Russo, Ahmad Sakor, Luis Daniel Fernandes Rotger, Maria-Esther Vidal
Published in: Semantic Web, Issue 14, 2023, Page(s) 873-892, ISSN 1570-0844
Publisher: IOS Press
DOI: 10.3233/sw-223269

Bias-aware ranking from pairwise comparisons

Author(s): Antonio Ferrara, Francesco Bonchi, Francesco Fabbri, Fariba Karimi, Claudia Wagner
Published in: Data Mining and Knowledge Discovery, Issue 38, 2024, Page(s) 2062-2086, ISSN 1384-5810
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s10618-024-01024-z

Explaining short text classification with diverse synthetic exemplars and counter-exemplars

Author(s): Orestis Lampridis; Laura State; Riccardo Guidotti; Salvatore Ruggieri
Published in: Machine learning, Issue 112, 2022, Page(s) 4289-432, ISSN 1573-0565
Publisher: Springer
DOI: 10.1007/s10994-022-06150-7

Policy advice and best practices on bias and fairness in AI

Author(s): 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
Published in: Ethics and information technology, Issue 26, 2024, Page(s) 31, ISSN 1572-8439
Publisher: Springer
DOI: 10.1007/s10676-024-09746-w

Predicting and explaining employee turnover intention

Author(s): Matilde Lazzari; Jose M. Alvarez; Salvatore Ruggieri
Published in: International Journal of Data Science and Analytics, Issue 14, 2022, Page(s) 279–292, ISSN 2364-4168
Publisher: Springer
DOI: 10.1007/s41060-022-00329-w

Measuring Shifts in Attitudes Towards COVID-19 Measures in Belgium

Author(s): Kristen Scott, Pieter Delobelle, Bettina Berendt
Published in: Computational Linguistics in the Netherlands Journal, Issue 11, 2021, Page(s) 161 - 171, ISSN 2211-4009
Publisher: Computational Linguistics in the Netherlands

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