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CORDIS - Resultados de investigaciones de la UE
CORDIS

Human-Compatible Artificial Intelligence with Guarantees

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

An Initial Report from the Living Labs: Stakeholder Analysis, Requirements Analysis, and First Results of Choice Experiments (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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.

Web Page and Related Infrastructure (se abrirá en una nueva ventana)

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.

Data Management Plan Update (se abrirá en una nueva ventana)

An updated version of the data management plan will be made available in time for the mid-term review.

Data Management Plan (se abrirá en una nueva ventana)

The first version of the DMP will be submitted within the first 6 months of the project.

Publicaciones

Group-blind optimal transport to group parity and its constrained variants (se abrirá en una nueva ventana)

Autores: Zhou, Quan; Marecek, Jakub
Publicado en: 2023
DOI: 10.48550/arxiv.2310.11407

Time-Varying Multi-Objective Optimization: Tradeoff Regret Bounds (se abrirá en una nueva ventana)

Autores: Shafiei, Allahkaram; Kungurtsev, Vyacheslav; Marecek, Jakub
Publicado en: 2022
DOI: 10.48550/arxiv.2211.09774

Hybrid Methods in Polynomial Optimisation (se abrirá en una nueva ventana)

Autores: Aspman, Johannes; Bareilles, Gilles; Kungurtsev, Vyacheslav; Marecek, Jakub; Takáč, Martin
Publicado en: 2023
DOI: 10.48550/arxiv.2305.16122

A Sequential Quadratic Programming Method for Optimization with Stochastic Objective Functions, Deterministic Inequality Constraints and Robust Subproblems (se abrirá en una nueva ventana)

Autores: Qiu, Songqiang; Kungurtsev, Vyacheslav
Publicado en: 2023
DOI: 10.48550/arxiv.2302.07947

Generating Likely Counterfactuals Using Sum-Product Networks (se abrirá en una nueva ventana)

Autores: Nemecek, Jiri; Pevny, Tomas; Marecek, Jakub
Publicado en: 2024
DOI: 10.48550/arxiv.2401.14086

Optimization or Architecture: How to Hack Kalman Filtering (se abrirá en una nueva ventana)

Autores: Greenberg, Ido; Yannay, Netanel; Mannor, Shie
Publicado en: 2023
DOI: 10.48550/arxiv.2310.00675

A novel framework for handling sparse data in traffic forecast (se abrirá en una nueva ventana)

Autores: Zygouras, Nikolaos; Gunopulos, Dimitrios
Publicado en: Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022
DOI: 10.48550/arxiv.2301.05292

Explaining Knock-on Effects of Bias Mitigation (se abrirá en una nueva ventana)

Autores: Nizhnichenkov, Svetoslav; Nair, Rahul; Daly, Elizabeth; Mac Namee, Brian
Publicado en: 2023
DOI: 10.48550/arxiv.2312.00765

Interpretable Differencing of Machine Learning Models (se abrirá en una nueva ventana)

Autores: Haldar, Swagatam; Saha, Diptikalyan; Wei, Dennis; Nair, Rahul; Daly, Elizabeth M.
Publicado en: 2023
DOI: 10.48550/arxiv.2306.06473

Riemannian Stochastic Approximation for Minimizing Tame Nonsmooth Objective Functions (se abrirá en una nueva ventana)

Autores: Aspman, Johannes; Kungurtsev, Vyacheslav; Seraji, Reza Roohi
Publicado en: 2023
DOI: 10.48550/arxiv.2302.00709

Piecewise Polynomial Regression of Tame Functions via Integer Programming (se abrirá en una nueva ventana)

Autores: Bareilles, Gilles; Aspman, Johannes; Nemecek, Jiri; Marecek, Jakub
Publicado en: 2023
DOI: 10.48550/arxiv.2311.13544

Fairness Aware Counterfactuals for Subgroups (se abrirá en una nueva ventana)

Autores: Loukas Kavouras, Konstantinos Tsopelas, Giorgos Giannopoulos, Dimitris Sacharidis, Eleni Psaroudaki, Nikolaos Theologitis, Dimitrios Rontogiannis, Dimitris Fotakis, Ioannis Emiris
Publicado en: NeurIPS 2023, 2023
Editor: NeurIPS
DOI: 10.48550/arXiv.2306.14978

Closed-Loop View of the Regulation of AI: Equal Impact across Repeated Interactions (se abrirá en una nueva ventana)

Autores: Zhou, Quan; Ghosh, Ramen; Shorten, Robert; Marecek, Jakub
Publicado en: 2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW), 2024
Editor: IEEE
DOI: 10.48550/ARXIV.2209.01410

Interpretable Differencing of Machine Learning Models

Autores: Swagatam Haldar, Diptikalyan Saha, Dennis Wei, Rahul Nair, Elizabeth M. Daly
Publicado en: UAI 2023, 2023
Editor: Association for Uncertainty in Artificial Intelligence

Hybrid Methods in Polynomial Optimisation

Autores: Johannes Aspman, Gilles Bareilles, Vyacheslav Kungurtsev, Jakub Marecek, Martin Takáč
Publicado en: Foundations of Computational Mathematics, 2023
Editor: Foundations of Computational Mathematics

Cookie Consent Has Disparate Impact on Estimation Accuracy

Autores: Erik Miehling, Rahul Nair, Elizabeth Daly, Karthikeyan Natesan Ramamurthy, Robert Redmond
Publicado en: NeurIPS 2023, 2023, ISSN 1049-5258
Editor: neurips.cc

Closed-Loop View of the Regulation of AI: Equal Impact across Repeated Interactions (se abrirá en una nueva ventana)

Autores: Zhou, Quan; Ghosh, Ramen; Shorten, Robert; Marecek, Jakub
Publicado en: FAIR 2024, 2022
DOI: 10.48550/arxiv.2209.01410

Practical Privacy Preservation in a Mobile Cloud Environment (se abrirá en una nueva ventana)

Autores: Tomaras, Dimitrios; Tsenos, Michail; Kalogeraki, Vana
Publicado en: 23rd IEEE International Conference on Mobile Data Management (MDM), 2022
DOI: 10.48550/arxiv.2302.04463

Co-creating a globally interpretable model with human input

Autores: Rahul Nair
Publicado en: ICML 2023 Workshop Artificial Intelligence & Human-Computer Interaction, 2023, ISSN 2640-3498
Editor: MLResearchPress

Auditing for Spatial Fairness

Autores: Dimitris Sacharidis, Giorgos Giannopoulos, George Papastefanatos, Kostas Stefanidis
Publicado en: 26th International Conference on Extending Database Technology (EDBT), 2023
Editor: EDBT

Taming Binarized Neural Networks and Mixed-Integer Programs (se abrirá en una nueva ventana)

Autores: Aspman, Johannes; Korpas, Georgios; Marecek, Jakub
Publicado en: AAAI 2024, 2024
DOI: 10.48550/arxiv.2310.04469

Fairness Aware Counterfactuals for Subgroups (se abrirá en una nueva ventana)

Autores: Kavouras, Loukas; Tsopelas, Konstantinos; Giannopoulos, Giorgos; Sacharidis, Dimitris; Psaroudaki, Eleni; Theologitis, Nikolaos; Rontogiannis, Dimitrios; Fotakis, Dimitris; Emiris, Ioannis Z.
Publicado en: NeurIPS 2023, 2023
DOI: 10.48550/ARXIV.2306.14978

Predictability and fairness in load aggregation and operations of virtual power plants (se abrirá en una nueva ventana)

Autores: Jakub Mareček, Michal Roubalik, Ramen Ghosh, Robert N. Shorten, Fabian R. Wirth
Publicado en: Automatica, 2023, ISSN 0005-1098
Editor: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2022.110743

Journal of Artificial Intelligence Research (se abrirá en una nueva ventana)

Autores: Quan Zhou, Jakub Mareček, Robert Shorten
Publicado en: The Journal of Artificial Intelligence Research (JAIR), 2023, ISSN 1076-9757
Editor: Morgan Kaufmann Publishers, Inc.
DOI: 10.1613/jair.1.14050

International Journal of Control (se abrirá en una nueva ventana)

Autores: Wynita M. Griggs; Ramen Ghosh; Jakub Mareček; Robert N. Shorten
Publicado en: International Journal of Control, 2025, ISSN 0020-7179
Editor: Taylor and Francis
DOI: 10.1080/00207179.2025.2469281

Automatica (se abrirá en una nueva ventana)

Autores: Vyacheslav Kungurtsev, Jakub Marecek, Ramen Ghosh, Robert Shorten
Publicado en: Automatica, 2023, ISSN 0005-1098
Editor: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2023.110946

International Journal of Control (se abrirá en una nueva ventana)

Autores: Ferraro, P; Yu, JY; Ghosh, R; Alam, SE; Marecek, J; Wirth, F; Shorten, R
Publicado en: International Journal of Control, 2023, ISSN 0020-7179
Editor: Taylor & Francis
DOI: 10.48550/ARXIV.2209.13273

Journal of Chemical Information and Modeling (se abrirá en una nueva ventana)

Autores: Zamanos, Andreas; Ioannakis, George; Emiris, Ioannis
Publicado en: Journal of Chemical Information and Modeling, 2024, ISSN 1549-9596
Editor: American Chemical Society
DOI: 10.1021/ACS.JCIM.3C01559

Trilevel and multilevel optimization using monotone operator theory (se abrirá en una nueva ventana)

Autores: Allahkaram Shafiei; Vyacheslav Kungurtsev; Jakub Marecek
Publicado en: Mathematical Methods of Operations Research, 2024, ISSN 1432-5217
Editor: Springer
DOI: 10.48550/ARXIV.2105.09407

International Journal of Control (se abrirá en una nueva ventana)

Autores: Pietro Ferraro,Jia Yuan Yu,Ramen Ghosh,Syed Eqbal Alam,Jakub Marecek,Fabian Wirth, Robert Shorten
Publicado en: International Journal of Control, 2024, ISSN 0020-7179
Editor: Taylor and Francis Ltd.
DOI: 10.1080/00207179.2023.2259016

PLoS ONE (se abrirá en una nueva ventana)

Autores: Quan Zhou, Jakub Mareček, Robert Shorten
Publicado en: PLoS One, 2023, ISSN 1932-6203
Editor: Public Library of Science
DOI: 10.1371/journal.pone.0281443

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