Trusted AI for Transparent Public Governance fostering Democratic Values

Projektinformationen

AI4Gov

ID Finanzhilfevereinbarung: 101094905

DOI

10.3030/101094905

Projekt abgeschlossen

EK-Unterschriftsdatum 11 Dezember 2022

Startdatum 1 Januar 2023

Enddatum 31 Dezember 2025

Finanziert unter

• Culture, creativity and inclusive society

Gesamtkosten

€ 3 000 000,00

EU-Beitrag

€ 3 000 000,00

Koordiniert durch

MAGGIOLI SPA
Italy

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

Demonstrators, pilots, prototypes (8)

AI4Gov Holistic Regulatory Framework V1

will study and list common antecedents for biases, unfairness and non-inclusiveness and list of vulnerable (intersectional) groups by UC and design the HRF of the project (T2.2).

Decentralized Data Governance, Provenance and Reliability V1

will architect the decentralized Blockchain-based applications in governance and will introduce, monitor and revise the DGF across the complete lifecycle of the project.

Trustworthy, Explainable, and unbiased AI V1

Prototype implementation of AI, XAI, SAX, FML and real-time analytics infrastructures.

AI4Gov Holistic Regulatory Framework V2

will study and list common antecedents for biases, unfairness and non-inclusiveness and list of vulnerable (intersectional) groups by UC and design the HRF of the project (T2.2).

Policies Visualization Services V1

Software implementations of policy modelling/interpretation/monitoring, and visualization services.

Reference Architecture and Integration of AI4Gov Platform V1

will identify the key components of AI4Gov and define the interfaces and interactions between them. It will also describe the integrations between the toolkits, libraries, frameworks and components of the project.

Decentralized Data Governance, Provenance and Reliability V2

will architect the decentralized Blockchain-based applications in governance and will introduce, monitor and revise the DGF across the complete lifecycle of the project.

Policy Recommendation Toolkit V1

will deliver a populated version of the catalogue for policies models and associated datasets to be exploited for reuse in different domains (T3.4).

Documents, reports (5)

Assessment tools, training activities, best practice guide V1

will introduce a set of (self) assessment tools and checklists, describe the training plan and activities with respect to different groups. Moreover, they will provide the material used in envisioned training courses and MOOCs, and a best practice guide and blueprint will be delivered covering ethical and technical aspects of AI development processes.

Specification of UC Scenarios and Planning of Integration and Validation Activities V2

Report on co-creation activities and specification design of the different UC scenarios. AI4Gov technologies’ experimentation and evaluation upon the different UCs.

Specification of UC Scenarios and Planning of Integration and Validation Activities V1

Report on co-creation activities and specification design of the different UC scenarios. AI4Gov technologies’ experimentation and evaluation upon the different UCs.

Input papers to facilitate the workshops on awareness raising V1

will provide the input papers with data on existing awareness-raising strategies to mitigate AI bias and discrimination and to enhance inclusiveness, representation, participation, openness, pluralism, and tolerance.

Dissemination, Communication, Standardization Activities Report V1

report (living document) on the outcomes of T7.1, T7.2 and T7.3, that will be delivered periodically.

Veröffentlichungen

Conference proceedings (7)

Mitigating Bias in Time Series Forecasting for Efficient Wastewater Management

Autoren: Konstantinos Mavrogiorgos, Athanasios Kiourtis, Argyro Mavrogiorgou, Alenka Gucek, Andreas Menychtas, Dimosthenis Kyriazis
Veröffentlicht in: 2024 7th International Conference on Informatics and Computational Sciences (ICICoS), 2024
Herausgeber: IEEE
DOI: 10.1109/ICICOS62600.2024.10636931

Combining Explainable Artificial Intelligence (Xai) With Blockchain Towards Trustworthy Data-Driven Policies

Autoren: Konstantinos Mavrogiorgos, Shlomit Gur, Nikolaos Kalantzis, Konstantinos Tzelaptsis, Xanthi S. Papageorgiou, Andreas Karabetian, Georgios Manias, Argyro Mavrogiorgou, Dimosthenis Kyriazis, Celia Parra
Veröffentlicht in: 2025 21st International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), 2025
Herausgeber: IEEE
DOI: 10.1109/DCOSS-IOT65416.2025.00157

Time Series Forecasting for Touristic Policies

Autoren: Konstantinos Mavrogiorgos, Athanasios Kiourtis, Argyro Mavrogiorgou, Dimitrios Apostolopoulos, Andreas Menychtas, Dimosthenis Kyriazis
Veröffentlicht in: ITISE 2025, 2025
Herausgeber: MDPI
DOI: 10.3390/CMSF2025011004

The WHY in Business Processes: Unification of Causal Process Models

Autoren: Yuval David, Fabiana Fournier, Lior Limonad, Inna Skarbovsky
Veröffentlicht in: Lecture Notes in Business Information Processing, Business Process Management Forum, 2025
Herausgeber: Springer Nature Switzerland
DOI: 10.1007/978-3-032-02929-4_3

Towards a Benchmark for Causal Business Process Reasoning with LLMs

Autoren: Fabiana Fournier, Lior Limonad, Inna Skarbovsky
Veröffentlicht in: Lecture Notes in Business Information Processing, Business Process Management Workshops, 2025
Herausgeber: Springer Nature Switzerland
DOI: 10.1007/978-3-031-78666-2_18

Selecting the Right Llm for Egov Explanations

Autoren: Lior Limonad, Fabiana Fournier, Hadar Mulian, George Manias, Spiros Borotis, Danai Kyrkou
Veröffentlicht in: 2025 Eleventh International Conference on eDemocracy & eGovernment (ICEDEG), 2025
Herausgeber: IEEE
DOI: 10.1109/ICEDEG65568.2025.11081620

A Question Answering Software for Assessing AI Policies of OECD Countries

Autoren: Konstantinos Mavrogiorgos, Athanasios Kiourtis, Argyro Mavrogiorgou, Georgios Manias, Dimosthenis Kyriazis
Veröffentlicht in: The 4th European Symposium on Software Engineering (ESSE 2023), 2023
Herausgeber: ACM
DOI: 10.1145/3651640.3651651

Peer reviewed articles (4)

Bias in Machine Learning: A Literature Review

Autoren: Konstantinos Mavrogiorgos; Athanasios Kiourtis; Argyro Mavrogiorgou; Andreas Menychtas; Dimosthenis Kyriazis
Veröffentlicht in: Applied Sciences, 2024, ISSN 2076-3417
Herausgeber: MDPI
DOI: 10.3390/APP14198860

Orphanet Journal of Rare Diseases

Veröffentlicht in: Orphanet Journal of Rare Diseases, 2024, ISSN 1750-1172
Herausgeber: Springer Nature
DOI: 10.1186/S13023-024-03293-9

The WHY in Business Processes: Discovery of Causal Execution Dependencies

Autoren: Fabiana Fournier; Lior Limonad; Inna Skarbovsky; Yuval David
Veröffentlicht in: KI - Künstliche Intelligenz, 2025, ISSN 0933-1875
Herausgeber: Springer Nature
DOI: 10.48550/ARXIV.2310.14975

Data and Knowledge Engineering

Autoren: Dirk Fahland; Fabiana Fournier; Lior Limonad; Inna Skarbovsky; Ava J.E. Swevels
Veröffentlicht in: Data and Knowledge Engineering, 2025, ISSN 0169-023X
Herausgeber: Elsevier BV
DOI: 10.48550/ARXIV.2401.12846

Other (2)

The WHY in Business Processes: Discovery of Causal Execution Dependencies

Autoren: Fournier, Fabiana; Limonad, Lior; Skarbovsky, Inna; David, Yuval
Veröffentlicht in: 2023
DOI: 10.48550/arxiv.2310.14975

How well can large language models explain business processes?

Autoren: Dirk Fahland, Fabiana Fournier, Lior Limonad, Inna Skarbovsky, Ava J.E. Swevels
Veröffentlicht in: 2024
DOI: 10.48550/arXiv.2401.12846