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CORDIS

Trusted AI for Transparent Public Governance fostering Democratic Values

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

AI4Gov Holistic Regulatory Framework V1 (opens in new window)

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 (opens in new window)

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 (opens in new window)

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

AI4Gov Holistic Regulatory Framework V2 (opens in new window)

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 (opens in new window)

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

Reference Architecture and Integration of AI4Gov Platform V1 (opens in new window)

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 (opens in new window)

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 (opens in new window)

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

Assessment tools, training activities, best practice guide V1 (opens in new window)

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 (opens in new window)

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 (opens in new window)

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 (opens in new window)

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 (opens in new window)

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

Publications

Mitigating Bias in Time Series Forecasting for Efficient Wastewater Management (opens in new window)

Author(s): Konstantinos Mavrogiorgos, Athanasios Kiourtis, Argyro Mavrogiorgou, Alenka Gucek, Andreas Menychtas, Dimosthenis Kyriazis
Published in: 2024 7th International Conference on Informatics and Computational Sciences (ICICoS), 2024
Publisher: 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" (opens in new window)

Author(s): 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
Published in: In 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), ISSN 2325-2944
Publisher: IEEE
DOI: 10.1109/DCOSS-IOT58021.2023.00090

Bridging Global Disparities: An Analytics Pipeline for Detecting Bias and Incompleteness in Rare Diseases Datasets (opens in new window)

Author(s): Alenka Guček, Matej Kovačič, Tanja Zdolšek Draksler
Published in: Meeting abstracts from the 12th European Conference on Rare Diseases and Orphan Products, 2024
Publisher: BioMed Central
DOI: 10.1186/S13023-024-03293-9

Combining Explainable Artificial Intelligence (Xai) With Blockchain Towards Trustworthy Data-Driven Policies (opens in new window)

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

Time Series Forecasting for Touristic Policies (opens in new window)

Author(s): Konstantinos Mavrogiorgos, Athanasios Kiourtis, Argyro Mavrogiorgou, Dimitrios Apostolopoulos, Andreas Menychtas, Dimosthenis Kyriazis
Published in: ITISE 2025, 2025
Publisher: MDPI
DOI: 10.3390/CMSF2025011004

The WHY in Business Processes: Unification of Causal Process Models (opens in new window)

Author(s): Yuval David, Fabiana Fournier, Lior Limonad, Inna Skarbovsky
Published in: Lecture Notes in Business Information Processing, Business Process Management Forum, 2025
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-032-02929-4_3

Towards a Benchmark for Causal Business Process Reasoning with LLMs (opens in new window)

Author(s): Fabiana Fournier, Lior Limonad, Inna Skarbovsky
Published in: Lecture Notes in Business Information Processing, Business Process Management Workshops, 2025
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-78666-2_18

Selecting the Right Llm for Egov Explanations (opens in new window)

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

Self-Explaining Neural Networks for Business Process Monitoring (opens in new window)

Author(s): Shahaf Bassan, Shlomit Gur, Sergey Zeltyn, Konstantinos Mavrogiorgos, Ron Eliav, Dimosthenis Kyriazis
Published in: ICSBT 2026 – 23rd International Conference on Smart Business Technologies
Publisher: Springer
DOI: 10.48550/ARXIV.2503.18067

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

Author(s): Shahaf Bassan, Ron Eliav, Shlomit Gur
Published in: The Thirteenth International Conference on Learning Representations (ICLR), 2024
Publisher: ICLR

A Question Answering Software for Assessing AI Policies of OECD Countries (opens in new window)

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

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

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

eXplainable Random Forest

Author(s): Guy Amit, Shlomit Gur
Published in: Proceedings of Workshop on Embracing Human-Aware AI in Industry 5.0 (HAII5.0 2024), 2024
Publisher: CEUR-WS (CEUR Workshop Proceedings)

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

Author(s): 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
Published in: Proceedings from the 2024 Global Conference on AI and Human Rights, 2024
Publisher: Litteralis Ltd

Bias in Machine Learning: A Literature Review (opens in new window)

Author(s): Konstantinos Mavrogiorgos; Athanasios Kiourtis; Argyro Mavrogiorgou; Andreas Menychtas; Dimosthenis Kyriazis
Published in: Applied Sciences, 2024, ISSN 2076-3417
Publisher: MDPI
DOI: 10.3390/APP14198860

The WHY in Business Processes: Discovery of Causal Execution Dependencies (opens in new window)

Author(s): Fabiana Fournier; Lior Limonad; Inna Skarbovsky; Yuval David
Published in: KI - Künstliche Intelligenz, 2025, ISSN 0933-1875
Publisher: Springer Nature
DOI: 10.48550/ARXIV.2310.14975

How well can a large language model explain business processes as perceived by users? (opens in new window)

Author(s): Dirk Fahland, Fabiana Fournier, Lior Limonad, Inna Skarbovsky, Ava J.E. Swevels
Published in: Data & Knowledge Engineering, Issue 157, 2025, ISSN 0169-023X
Publisher: Elsevier BV
DOI: 10.1016/J.DATAK.2025.102416

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