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CORDIS - Forschungsergebnisse der EU
CORDIS

Human-Compatible Artificial Intelligence with Guarantees

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

An Initial Report from the Living Labs: Stakeholder Analysis, Requirements Analysis, and First Results of Choice Experiments (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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

Data Management Plan (öffnet in neuem Fenster)

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

Veröffentlichungen

Group-blind optimal transport to group parity and its constrained variants (öffnet in neuem Fenster)

Autoren: Zhou, Quan; Marecek, Jakub
Veröffentlicht in: 2023
DOI: 10.48550/arxiv.2310.11407

Time-Varying Multi-Objective Optimization: Tradeoff Regret Bounds (öffnet in neuem Fenster)

Autoren: Shafiei, Allahkaram; Kungurtsev, Vyacheslav; Marecek, Jakub
Veröffentlicht in: 2022
DOI: 10.48550/arxiv.2211.09774

Hybrid Methods in Polynomial Optimisation (öffnet in neuem Fenster)

Autoren: Aspman, Johannes; Bareilles, Gilles; Kungurtsev, Vyacheslav; Marecek, Jakub; Takáč, Martin
Veröffentlicht in: 2023
DOI: 10.48550/arxiv.2305.16122

A Sequential Quadratic Programming Method for Optimization with Stochastic Objective Functions, Deterministic Inequality Constraints and Robust Subproblems (öffnet in neuem Fenster)

Autoren: Qiu, Songqiang; Kungurtsev, Vyacheslav
Veröffentlicht in: 2023
DOI: 10.48550/arxiv.2302.07947

Generating Likely Counterfactuals Using Sum-Product Networks (öffnet in neuem Fenster)

Autoren: Nemecek, Jiri; Pevny, Tomas; Marecek, Jakub
Veröffentlicht in: 2024
DOI: 10.48550/arxiv.2401.14086

Optimization or Architecture: How to Hack Kalman Filtering (öffnet in neuem Fenster)

Autoren: Greenberg, Ido; Yannay, Netanel; Mannor, Shie
Veröffentlicht in: 2023
DOI: 10.48550/arxiv.2310.00675

A novel framework for handling sparse data in traffic forecast (öffnet in neuem Fenster)

Autoren: Zygouras, Nikolaos; Gunopulos, Dimitrios
Veröffentlicht in: 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 (öffnet in neuem Fenster)

Autoren: Nizhnichenkov, Svetoslav; Nair, Rahul; Daly, Elizabeth; Mac Namee, Brian
Veröffentlicht in: 2023
DOI: 10.48550/arxiv.2312.00765

Interpretable Differencing of Machine Learning Models (öffnet in neuem Fenster)

Autoren: Haldar, Swagatam; Saha, Diptikalyan; Wei, Dennis; Nair, Rahul; Daly, Elizabeth M.
Veröffentlicht in: 2023
DOI: 10.48550/arxiv.2306.06473

Riemannian Stochastic Approximation for Minimizing Tame Nonsmooth Objective Functions (öffnet in neuem Fenster)

Autoren: Aspman, Johannes; Kungurtsev, Vyacheslav; Seraji, Reza Roohi
Veröffentlicht in: 2023
DOI: 10.48550/arxiv.2302.00709

Piecewise Polynomial Regression of Tame Functions via Integer Programming (öffnet in neuem Fenster)

Autoren: Bareilles, Gilles; Aspman, Johannes; Nemecek, Jiri; Marecek, Jakub
Veröffentlicht in: 2023
DOI: 10.48550/arxiv.2311.13544

Fairness Aware Counterfactuals for Subgroups (öffnet in neuem Fenster)

Autoren: Loukas Kavouras, Konstantinos Tsopelas, Giorgos Giannopoulos, Dimitris Sacharidis, Eleni Psaroudaki, Nikolaos Theologitis, Dimitrios Rontogiannis, Dimitris Fotakis, Ioannis Emiris
Veröffentlicht in: NeurIPS 2023, 2023
Herausgeber: NeurIPS
DOI: 10.48550/arXiv.2306.14978

Closed-Loop View of the Regulation of AI: Equal Impact across Repeated Interactions (öffnet in neuem Fenster)

Autoren: Zhou, Quan; Ghosh, Ramen; Shorten, Robert; Marecek, Jakub
Veröffentlicht in: 2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW), 2024
Herausgeber: IEEE
DOI: 10.48550/ARXIV.2209.01410

Interpretable Differencing of Machine Learning Models

Autoren: Swagatam Haldar, Diptikalyan Saha, Dennis Wei, Rahul Nair, Elizabeth M. Daly
Veröffentlicht in: UAI 2023, 2023
Herausgeber: Association for Uncertainty in Artificial Intelligence

Hybrid Methods in Polynomial Optimisation

Autoren: Johannes Aspman, Gilles Bareilles, Vyacheslav Kungurtsev, Jakub Marecek, Martin Takáč
Veröffentlicht in: Foundations of Computational Mathematics, 2023
Herausgeber: Foundations of Computational Mathematics

Cookie Consent Has Disparate Impact on Estimation Accuracy

Autoren: Erik Miehling, Rahul Nair, Elizabeth Daly, Karthikeyan Natesan Ramamurthy, Robert Redmond
Veröffentlicht in: NeurIPS 2023, 2023, ISSN 1049-5258
Herausgeber: neurips.cc

Closed-Loop View of the Regulation of AI: Equal Impact across Repeated Interactions (öffnet in neuem Fenster)

Autoren: Zhou, Quan; Ghosh, Ramen; Shorten, Robert; Marecek, Jakub
Veröffentlicht in: FAIR 2024, 2022
DOI: 10.48550/arxiv.2209.01410

Practical Privacy Preservation in a Mobile Cloud Environment (öffnet in neuem Fenster)

Autoren: Tomaras, Dimitrios; Tsenos, Michail; Kalogeraki, Vana
Veröffentlicht in: 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

Autoren: Rahul Nair
Veröffentlicht in: ICML 2023 Workshop Artificial Intelligence & Human-Computer Interaction, 2023, ISSN 2640-3498
Herausgeber: MLResearchPress

Auditing for Spatial Fairness

Autoren: Dimitris Sacharidis, Giorgos Giannopoulos, George Papastefanatos, Kostas Stefanidis
Veröffentlicht in: 26th International Conference on Extending Database Technology (EDBT), 2023
Herausgeber: EDBT

Taming Binarized Neural Networks and Mixed-Integer Programs (öffnet in neuem Fenster)

Autoren: Aspman, Johannes; Korpas, Georgios; Marecek, Jakub
Veröffentlicht in: AAAI 2024, 2024
DOI: 10.48550/arxiv.2310.04469

Fairness Aware Counterfactuals for Subgroups (öffnet in neuem Fenster)

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

Predictability and fairness in load aggregation and operations of virtual power plants (öffnet in neuem Fenster)

Autoren: Jakub Mareček, Michal Roubalik, Ramen Ghosh, Robert N. Shorten, Fabian R. Wirth
Veröffentlicht in: Automatica, 2023, ISSN 0005-1098
Herausgeber: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2022.110743

Journal of Artificial Intelligence Research (öffnet in neuem Fenster)

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

International Journal of Control (öffnet in neuem Fenster)

Autoren: Wynita M. Griggs; Ramen Ghosh; Jakub Mareček; Robert N. Shorten
Veröffentlicht in: International Journal of Control, 2025, ISSN 0020-7179
Herausgeber: Taylor and Francis
DOI: 10.1080/00207179.2025.2469281

Automatica (öffnet in neuem Fenster)

Autoren: Vyacheslav Kungurtsev, Jakub Marecek, Ramen Ghosh, Robert Shorten
Veröffentlicht in: Automatica, 2023, ISSN 0005-1098
Herausgeber: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2023.110946

International Journal of Control (öffnet in neuem Fenster)

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

Journal of Chemical Information and Modeling (öffnet in neuem Fenster)

Autoren: Zamanos, Andreas; Ioannakis, George; Emiris, Ioannis
Veröffentlicht in: Journal of Chemical Information and Modeling, 2024, ISSN 1549-9596
Herausgeber: American Chemical Society
DOI: 10.1021/ACS.JCIM.3C01559

Trilevel and multilevel optimization using monotone operator theory (öffnet in neuem Fenster)

Autoren: Allahkaram Shafiei; Vyacheslav Kungurtsev; Jakub Marecek
Veröffentlicht in: Mathematical Methods of Operations Research, 2024, ISSN 1432-5217
Herausgeber: Springer
DOI: 10.48550/ARXIV.2105.09407

International Journal of Control (öffnet in neuem Fenster)

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

PLoS ONE (öffnet in neuem Fenster)

Autoren: Quan Zhou, Jakub Mareček, Robert Shorten
Veröffentlicht in: PLoS One, 2023, ISSN 1932-6203
Herausgeber: Public Library of Science
DOI: 10.1371/journal.pone.0281443

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