CORDIS provides links to public deliverables and publications of HORIZON projects.
Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .
Deliverables
This report will describe the Living Lab (LL) hosted by each use case. These LLs will convene a cross-section of key actors, to form a cross-sectoral working group which will serve as a focal point for interactions with stakeholders of each of the respective use cases. The LLs will comprise stakeholders such as public authorities, local business representatives, NGOs, policy makers, etc., and seek to embed their perspective into the research process, increasing the potential for practical application of project results. Stakeholder engagement within the LLs will be central to economic methods such as cost benefit analysis, choice experiments, and revealed preference analysis, in order to develop effective financial instruments to incentivise behaviour change, and inform policy development.
Methods for Explainability that Incorporate Fairness Measures (opens in new window)This report describes novel explainability methods to provide explanations on fairness of the outcomes of AI algorithms, tying the produced explanations to respective fairness definitions. In particular, we will focus on how we will incorporate additional factors in the optimization objective of explainability algorithms such as counterafactuals or SHAP, in order to account for in changes of fairness definition configurations. This will also describe their initial implementations.
First Periodical Management Report (opens in new window)The periodical management report will have two parts. (1) The Technical Report's Part B is a project status report. It presents a narrative of the progression of the work done, from project objectives and work packages, to tasks’ progress descriptions. It also covers detected risks and the associated mitigation measures. Also, any deviations from original planning should be explained here. (2) The Financial Report refers to the consumption of the project costs incurred during the period.
A Study on Fair AI Policies and Regimes (opens in new window)In order to ground the research and development in the relevant regulation of the EU and selected third countries (esp. in the WOR use case, where many clients are multi-nationals with large operations in the US), this report will present a comprehensive overview of AI-Fairness policy (to be updated as a live document), providing guidance and suggestions to the consortium. It will report on workshops with regulators dealing with AI fairness. It will explain the regulatory tensions (e.g. between property and fairness protection regimes) and suggest potential strategies of resolution. It will develop lists of best regulatory practices. It will suggest and develop model contract clauses in relation to FairAI and assess existing AI-based service providers’ contract on their basis.
The Project Website will be the base for the dissemination activities that will be projected through the website. These will include the project details, project progress, promotional videos, participation in scientific conferences and business venues. All publications derived from the project will be linked from the project website in their arxiv and archival forms to maximize the project promotion. Moreover, the project promotion plans will include the setup and maintenance of LinkedIn groups dedicated to the project promotion, and a print fact sheet.
An updated version of the data management plan will be made available in time for the mid-term review.
Data Management Plan (opens in new window)The first version of the DMP will be submitted within the first 6 months of the project.
Publications
Author(s):
Zhou, Quan; Marecek, Jakub
Published in:
2023
DOI:
10.48550/arxiv.2310.11407
Author(s):
Shafiei, Allahkaram; Kungurtsev, Vyacheslav; Marecek, Jakub
Published in:
2022
DOI:
10.48550/arxiv.2211.09774
Author(s):
Aspman, Johannes; Bareilles, Gilles; Kungurtsev, Vyacheslav; Marecek, Jakub; Takáč, Martin
Published in:
2023
DOI:
10.48550/arxiv.2305.16122
Author(s):
Qiu, Songqiang; Kungurtsev, Vyacheslav
Published in:
2023
DOI:
10.48550/arxiv.2302.07947
Author(s):
Nemecek, Jiri; Pevny, Tomas; Marecek, Jakub
Published in:
2024
DOI:
10.48550/arxiv.2401.14086
Author(s):
Greenberg, Ido; Yannay, Netanel; Mannor, Shie
Published in:
2023
DOI:
10.48550/arxiv.2310.00675
Author(s):
Zygouras, Nikolaos; Gunopulos, Dimitrios
Published in:
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022
DOI:
10.48550/arxiv.2301.05292
Author(s):
Nizhnichenkov, Svetoslav; Nair, Rahul; Daly, Elizabeth; Mac Namee, Brian
Published in:
2023
DOI:
10.48550/arxiv.2312.00765
Author(s):
Haldar, Swagatam; Saha, Diptikalyan; Wei, Dennis; Nair, Rahul; Daly, Elizabeth M.
Published in:
2023
DOI:
10.48550/arxiv.2306.06473
Author(s):
Aspman, Johannes; Kungurtsev, Vyacheslav; Seraji, Reza Roohi
Published in:
2023
DOI:
10.48550/arxiv.2302.00709
Author(s):
Bareilles, Gilles; Aspman, Johannes; Nemecek, Jiri; Marecek, Jakub
Published in:
2023
DOI:
10.48550/arxiv.2311.13544
Author(s):
Loukas Kavouras, Konstantinos Tsopelas, Giorgos Giannopoulos, Dimitris Sacharidis, Eleni Psaroudaki, Nikolaos Theologitis, Dimitrios Rontogiannis, Dimitris Fotakis, Ioannis Emiris
Published in:
NeurIPS 2023, 2023
Publisher:
NeurIPS
DOI:
10.48550/arXiv.2306.14978
Author(s):
Swagatam Haldar, Diptikalyan Saha, Dennis Wei, Rahul Nair, Elizabeth M. Daly
Published in:
UAI 2023, 2023
Publisher:
Association for Uncertainty in Artificial Intelligence
Author(s):
Johannes Aspman, Gilles Bareilles, Vyacheslav Kungurtsev, Jakub Marecek, Martin Takáč
Published in:
Foundations of Computational Mathematics, 2023
Publisher:
Foundations of Computational Mathematics
Author(s):
Erik Miehling, Rahul Nair, Elizabeth Daly, Karthikeyan Natesan Ramamurthy, Robert Redmond
Published in:
NeurIPS 2023, 2023, ISSN 1049-5258
Publisher:
neurips.cc
Author(s):
Zhou, Quan; Ghosh, Ramen; Shorten, Robert; Marecek, Jakub
Published in:
FAIR 2024, 2022
DOI:
10.48550/arxiv.2209.01410
Author(s):
Tomaras, Dimitrios; Tsenos, Michail; Kalogeraki, Vana
Published in:
23rd IEEE International Conference on Mobile Data Management (MDM), 2022
DOI:
10.48550/arxiv.2302.04463
Author(s):
Rahul Nair
Published in:
ICML 2023 Workshop Artificial Intelligence & Human-Computer Interaction, 2023, ISSN 2640-3498
Publisher:
MLResearchPress
Author(s):
Dimitris Sacharidis, Giorgos Giannopoulos, George Papastefanatos, Kostas Stefanidis
Published in:
26th International Conference on Extending Database Technology (EDBT), 2023
Publisher:
EDBT
Author(s):
Aspman, Johannes; Korpas, Georgios; Marecek, Jakub
Published in:
AAAI 2024, 2024
DOI:
10.48550/arxiv.2310.04469
Author(s):
Jakub Mareček, Michal Roubalik, Ramen Ghosh, Robert N. Shorten, Fabian R. Wirth
Published in:
Automatica, 2023, ISSN 0005-1098
Publisher:
Pergamon Press Ltd.
DOI:
10.1016/j.automatica.2022.110743
Author(s):
Quan Zhou, Jakub Mareček, Robert Shorten
Published in:
The Journal of Artificial Intelligence Research (JAIR), 2023, ISSN 1076-9757
Publisher:
Morgan Kaufmann Publishers, Inc.
DOI:
10.1613/jair.1.14050
Author(s):
Vyacheslav Kungurtsev, Jakub Marecek, Ramen Ghosh, Robert Shorten
Published in:
Automatica, 2023, ISSN 0005-1098
Publisher:
Pergamon Press Ltd.
DOI:
10.1016/j.automatica.2023.110946
Author(s):
Pietro Ferraro,Jia Yuan Yu,Ramen Ghosh,Syed Eqbal Alam,Jakub Marecek,Fabian Wirth, Robert Shorten
Published in:
International Journal of Control, 2024, ISSN 0020-7179
Publisher:
Taylor and Francis Ltd.
DOI:
10.1080/00207179.2023.2259016
Author(s):
Quan Zhou, Jakub Mareček, Robert Shorten
Published in:
PLoS One, 2023, ISSN 1932-6203
Publisher:
Public Library of Science
DOI:
10.1371/journal.pone.0281443
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