AI-CODE - AI services for COntinuous trust in emerging Digital Environments

Informations projet

AI-CODE

N° de convention de subvention: 101135437

DOI

10.3030/101135437

Date de signature de la CE 20 Octobre 2023

Date de début 1 Decembre 2023

Date de fin 30 Novembre 2026

Financé au titre de

• Digital, Industry and Space

Coût total

Aucune donnée

Contribution de l’UE

€ 4 969 471,25

Coordonné par

DS TECH SRL
Italy

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Demonstrators, pilots, prototypes (6)

Prototyping the disinformation detection and next generation of social media services

Initial versions of the disinformation detection services focusing on next generation social media, as carried out in T4.1

Prototype version of Dynamic Simulator for Media Professionals

Initial -prototype of the interactive simulator for media professionals allowing users to observe selected functionalities of the simulator and give feedback regarding its design.

Prototyping the Media Asset Annotation and Management (MAAM) service

Initial versions of services that were built and prototyped in T4.3.

Prototype version of the Personal Companion for media professionals service

Initial version of the Personal Companion for understanding disinformation for media professionals service.

Prototyping the Trustability and credibility assessment services

First prototype of the Trustability and credibility assessment services produced in T4.2

Prototyping transparency services for AI-model cards

Initial versions of transparency services for AI-model cards carried out in T6.2

Documents, reports (5)

Quality Plan

This deliverable will state all the quality procedures to guarantee a successful project implementation.

Adaptation of existing credibility and trust assessment and disinformation detection tools to next-generation social media and AI-generated content

On the basis of T2.4, this deliverable will complement previous two deliverables and provide recommendations for development of AI-CODE services.

Data Management Plan

This deliverable will describe how the AI-CODE project manages data throughout its life cycle, in order to be compliant to the regulatory framework.

Functional specifications and technical requirements

Description of the necessary functionalities and technical requirements of the AI-CODE services based on results from tasks T3.3 und T3.4.

Report on technological and socio-behavioural characterization of next-generation social media

This deliverable will summarise the research performed in T2.1 and outline the emerging trust and disinformation risks.

Publications

Conference proceedings (8)

LLMs vs Established Text Augmentation Techniques for Classification: When do the Benefits Outweight the Costs?

Auteurs: Čegiň, Ján; Simko, Jakub; Brusilovsky, Peter
Publié dans: Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) (NAACL 2025), 2025
Éditeur: Association for Computational Linguistics
DOI: 10.48550/ARXIV.2408.16502

Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation

Auteurs: Jan Cegin, Branislav Pecher, Jakub Simko, Ivan Srba, Maria Bielikova, Peter Brusilovsky
Publié dans: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Éditeur: Association for Computational Linguistics
DOI: 10.18653/v1/2024.acl-long.710

Authorship Obfuscation in Multilingual Machine-Generated Text Detection

Auteurs: Macko, Dominik; Moro, Robert; Uchendu, Adaku; Srba, Ivan; Lucas, Jason Samuel; Yamashita, Michiharu; Tripto, Nafis Irtiza; Lee, Dongwon; Simko, Jakub; Bielikova, Maria
Publié dans: Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Éditeur: Association for Computational Linguistics
DOI: 10.48550/arXiv.2401.07867

SIDBench: A Python framework for reliably assessing synthetic image detection methods

Auteurs: Manos Schinas, Symeon Papadopoulos
Publié dans: 3rd ACM International Workshop on Multimedia AI against Disinformation, 2024
Éditeur: ACM
DOI: 10.1145/3643491.3660277

ModaFact: Multi-paradigm Evaluation for Joint Event Modality and Factuality Detection

Auteurs: Rovera, Marco; Cristoforetti, Serena; Tonelli,Sara
Publié dans: Proceedings of the 31st International Conference on Computational Linguistics, 2025
Éditeur: Association for Computational Linguistics

A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts

Auteurs: Tripto, Nafis Irtiza; Venkatraman, Saranya; Macko, Dominik; Moro, Robert; Srba, Ivan; Uchendu, Adaku; Le, Thai; Lee, Dongwon
Publié dans: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Éditeur: Association for Computational Linguistics
DOI: 10.48550/arXiv.2311.08374

MultiSocial: Multilingual Benchmark of Machine-Generated Text Detection of Social-Media Texts

Auteurs: Dominik Macko, Jakub Kopál, Robert Moro, Ivan Srba
Publié dans: Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Éditeur: Association for Computational Linguistics
DOI: 10.48550/ARXIV.2406.12549

KInIT at SemEval-2024 Task 8: Fine-tuned LLMs for Multilingual Machine-Generated Text Detection

Auteurs: Spiegel, Michal; Macko, Dominik
Publié dans: Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), 2024
Éditeur: Association for Computational Linguistics
DOI: 10.48550/arXiv.2402.13671

Peer reviewed articles (2)

Autonomation, Not Automation: Activities and Needs of European Fact-checkers as a Basis for Designing Human-centered AI Systems

Auteurs: Andrea Hrckova, Robert Moro, Ivan Srba, Jakub Simko, Maria Bielikova
Publié dans: ACM Journal on Responsible Computing, 2025, ISSN 2832-0565
Éditeur: ACM
DOI: 10.48550/ARXIV.2211.12143

ACM Transactions on Intelligent Systems and Technology

Auteurs: Srba, Ivan; Razuvayevskaya, Olesya; Leite, João A.; Baris Schlicht, Ipek; Tonelli, Sara; Moreno García, Francisco; Barrio Lottmann, Santiago; Teyssou, Denis; Porcellini, Valentin; Scarton, Carolina; Bontcheva, Kalina; Bielikova, Maria
Publié dans: ACM Transactions on Intelligent Systems and Technology, 2025, ISSN 2157-6904
Éditeur: ACM
DOI: 10.48550/ARXIV.2410.21360