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 (14)

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

"G. Manias et al., ""AI4Gov: Trusted AI for Transparent Public Governance Fostering Democratic Values,"" 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), Pafos, Cyprus, 2023, pp. 548-555, do"

Autoren: George Manias, Dimitris Apostolopoulos, Sotiris Athanassopoulos, Spiros Borotis, Charalampos Chatzimallis, Theodoros Chatzipantelis, Marcelo Corrales Compagnucci, Tanja Zdolsek Draksler, Fabiana Fournier, Magdalena Goralczyk, Alenka Gucek, Andreas Karabet
Veröffentlicht in: In 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), ISSN 2325-2944
Herausgeber: IEEE
DOI: 10.1109/DCOSS-IOT58021.2023.00090

Bridging Global Disparities: An Analytics Pipeline for Detecting Bias and Incompleteness in Rare Diseases Datasets

Autoren: Alenka Guček, Matej Kovačič, Tanja Zdolšek Draksler
Veröffentlicht in: Meeting abstracts from the 12th European Conference on Rare Diseases and Orphan Products, 2024
Herausgeber: BioMed Central
DOI: 10.1186/S13023-024-03293-9

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

Self-Explaining Neural Networks for Business Process Monitoring

Autoren: Shahaf Bassan, Shlomit Gur, Sergey Zeltyn, Konstantinos Mavrogiorgos, Ron Eliav, Dimosthenis Kyriazis
Veröffentlicht in: ICSBT 2026 – 23rd International Conference on Smart Business Technologies
Herausgeber: Springer
DOI: 10.48550/ARXIV.2503.18067

EXPLAIN YOURSELF, BRIEFLY! SELF-EXPLAINING NEURAL NETWORKS WITH CONCISE SUFFICIENT REASONS

Autoren: Shahaf Bassan, Ron Eliav, Shlomit Gur
Veröffentlicht in: The Thirteenth International Conference on Learning Representations (ICLR), 2024
Herausgeber: ICLR

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

Multilingual Classification of AI-Oriented Policy Documents based on Bias Types

Autoren: George Manias, Chrysa Agapitou, Nemania Borovits, Alenka Guček, Andreas Karabetian, Matej Kovacic, Konstantinos Mavrogiorgos, Tanja Zdolšek Draksler, Willem-Jan van den Heuvel, Dimosthenis Kyriazis
Veröffentlicht in: Data for Policy 2025 (DfP’25) - Europe Book of Abstracts
Herausgeber: Data for Policy CIC

eXplainable Random Forest

Autoren: Guy Amit, Shlomit Gur
Veröffentlicht in: Proceedings of Workshop on Embracing Human-Aware AI in Industry 5.0 (HAII5.0 2024), 2024
Herausgeber: CEUR-WS (CEUR Workshop Proceedings)

Fostering Fundamental Human Rights and Trustworthiness though the Utilization of Emerging Technologies: the AI4Gov Platform

Autoren: George Manias; Spiros Borotis; Charalampos Chatzimallis; Tanja Zdolsek Draksler; Alenka Gucek; Fabiana Fournier; Andreas Karabetian; Dimitris Kotios; Matej Kovacic; Danai Kyrkou; Lior Limonad; Konstantinos Mavrogiorgos; Dimitris Ntalaperas; Xanthi S. Papa
Veröffentlicht in: Proceedings from the 2024 Global Conference on AI and Human Rights, 2024
Herausgeber: Litteralis Ltd

Peer reviewed articles (3)

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

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

How well can a large language model explain business processes as perceived by users?

Autoren: Dirk Fahland, Fabiana Fournier, Lior Limonad, Inna Skarbovsky, Ava J.E. Swevels
Veröffentlicht in: Data & Knowledge Engineering, Ausgabe 157, 2025, ISSN 0169-023X
Herausgeber: Elsevier BV
DOI: 10.1016/J.DATAK.2025.102416