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CORDIS - Risultati della ricerca dell’UE
CORDIS

Human-Compatible Artificial Intelligence with Guarantees

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

An Initial Report from the Living Labs: Stakeholder Analysis, Requirements Analysis, and First Results of Choice Experiments (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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

Data Management Plan (si apre in una nuova finestra)

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

Pubblicazioni

Group-blind optimal transport to group parity and its constrained variants (si apre in una nuova finestra)

Autori: Zhou, Quan; Marecek, Jakub
Pubblicato in: 2023
DOI: 10.48550/arxiv.2310.11407

Time-Varying Multi-Objective Optimization: Tradeoff Regret Bounds (si apre in una nuova finestra)

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

Hybrid Methods in Polynomial Optimisation (si apre in una nuova finestra)

Autori: Aspman, Johannes; Bareilles, Gilles; Kungurtsev, Vyacheslav; Marecek, Jakub; Takáč, Martin
Pubblicato 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 (si apre in una nuova finestra)

Autori: Qiu, Songqiang; Kungurtsev, Vyacheslav
Pubblicato in: 2023
DOI: 10.48550/arxiv.2302.07947

Generating Likely Counterfactuals Using Sum-Product Networks (si apre in una nuova finestra)

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

Optimization or Architecture: How to Hack Kalman Filtering (si apre in una nuova finestra)

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

A novel framework for handling sparse data in traffic forecast (si apre in una nuova finestra)

Autori: Zygouras, Nikolaos; Gunopulos, Dimitrios
Pubblicato 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 (si apre in una nuova finestra)

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

Interpretable Differencing of Machine Learning Models (si apre in una nuova finestra)

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

Riemannian Stochastic Approximation for Minimizing Tame Nonsmooth Objective Functions (si apre in una nuova finestra)

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

Piecewise Polynomial Regression of Tame Functions via Integer Programming (si apre in una nuova finestra)

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

Fairness Aware Counterfactuals for Subgroups (si apre in una nuova finestra)

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

Closed-Loop View of the Regulation of AI: Equal Impact across Repeated Interactions (si apre in una nuova finestra)

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

Interpretable Differencing of Machine Learning Models

Autori: Swagatam Haldar, Diptikalyan Saha, Dennis Wei, Rahul Nair, Elizabeth M. Daly
Pubblicato in: UAI 2023, 2023
Editore: Association for Uncertainty in Artificial Intelligence

Hybrid Methods in Polynomial Optimisation

Autori: Johannes Aspman, Gilles Bareilles, Vyacheslav Kungurtsev, Jakub Marecek, Martin Takáč
Pubblicato in: Foundations of Computational Mathematics, 2023
Editore: Foundations of Computational Mathematics

Cookie Consent Has Disparate Impact on Estimation Accuracy

Autori: Erik Miehling, Rahul Nair, Elizabeth Daly, Karthikeyan Natesan Ramamurthy, Robert Redmond
Pubblicato in: NeurIPS 2023, 2023, ISSN 1049-5258
Editore: neurips.cc

Closed-Loop View of the Regulation of AI: Equal Impact across Repeated Interactions (si apre in una nuova finestra)

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

Practical Privacy Preservation in a Mobile Cloud Environment (si apre in una nuova finestra)

Autori: Tomaras, Dimitrios; Tsenos, Michail; Kalogeraki, Vana
Pubblicato 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

Autori: Rahul Nair
Pubblicato in: ICML 2023 Workshop Artificial Intelligence & Human-Computer Interaction, 2023, ISSN 2640-3498
Editore: MLResearchPress

Auditing for Spatial Fairness

Autori: Dimitris Sacharidis, Giorgos Giannopoulos, George Papastefanatos, Kostas Stefanidis
Pubblicato in: 26th International Conference on Extending Database Technology (EDBT), 2023
Editore: EDBT

Taming Binarized Neural Networks and Mixed-Integer Programs (si apre in una nuova finestra)

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

Fairness Aware Counterfactuals for Subgroups (si apre in una nuova finestra)

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

Predictability and fairness in load aggregation and operations of virtual power plants (si apre in una nuova finestra)

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

Journal of Artificial Intelligence Research (si apre in una nuova finestra)

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

International Journal of Control (si apre in una nuova finestra)

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

Automatica (si apre in una nuova finestra)

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

International Journal of Control (si apre in una nuova finestra)

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

Journal of Chemical Information and Modeling (si apre in una nuova finestra)

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

Trilevel and multilevel optimization using monotone operator theory (si apre in una nuova finestra)

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

International Journal of Control (si apre in una nuova finestra)

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

PLoS ONE (si apre in una nuova finestra)

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

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