The press release introduces the AI-CODE project, offering an overview of its tools and methodologies, outlining its objectives, and highlighting key activities and partners. The AI-CODE project is set to make a significant impact on the European media landscape by … Read More
All dissemination activities
Authorship Obfuscation in Multilingual Machine-Generated Text Detection
Creators:Macko, Dominik Moro, Robert Uchendu, Adaku Srba, Ivan Lucas, Jason Samuel Yamashita, Michiharu Tripto, Nafis Irtiza Simko, Jakub Bielikova, Maria Description: High-quality text generation capability of latest Large Language Models (LLMs) causes concerns about their misuse (e.g., in … Read More

The rise and integration of artificial intelligence into our daily lives is no longer a futuristic fantasy, but new data shows AI in the media sector might do more harm than good.
Whether AI leads to better journalism is an ongoing debate, but more media companies across the world aren’t waiting to find out which side up new tech lands. The media sector is jumping on the trend and embracing the latest … Read More
A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts
Creators Description: In the realm of text manipulation and linguistic transformation, the question of authorship has been a subject of fascination and philosophical inquiry. Much like the Ship of Theseus paradox, which ponders whether a ship remains the same when … Read More
KInIT at SemEval-2024 Task 8: Fine-tuned LLMs for Multilingual Machine-Generated Text Detection
Creators: Description: SemEval-2024 Task 8 is focused on multigenerator, multidomain, and multilingual black-box machine-generated text detection. Such a detection is important for preventing a potential misuse of large language models (LLMs), the newest of which are very capable in generating … Read More
SIDBench: A Python framework for reliably assessing synthetic image detection methods
Creators Description The generative AI technology offers an increasing variety of tools for generating entirely synthetic images that are increasingly indistinguishable from real ones. Unlike methods that alter portions of an image, the creation of completely synthetic images presents a … Read More
Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation
Creators Description The latest generative large language models (LLMs) have found their application in data augmentation tasks, where small numbers of text samples are LLM-paraphrased and then used to fine-tune downstream models. However, more research is needed to assess how … Read More

Press Release September 2024
The press release is about the successful completion of AI-CODE first series of seven co-creation workshops, in which journalists contributed to the development of innovative AI-based tools for media professionals. It has been published by EIPCM on openPR, Wissenschaft, Forschung, … Read More

Making EU digital environments safer
To foster trust in today’s evolving digital landscapes, users require a cutting-edge strategy that ensures the delivery of reliable and accurate information while actively combating online disinformation and eliminating harmful content. Introducing AI-Code: a groundbreaking three-year interdisciplinary initiative designed to … Read More

Meet the Future of AI: Generative AI and Democracy
Authors: Heini Järvinen & Inès Gentil (EU DisinfoLab) Editor: Jochen Spangenberg (DW) Original source: Generative AI and Democracy: Event Summary and Insights – vera.ai VERification Assisted by Artificial Intelligence (veraai.eu) On 19 June 2024 a significant milestone was reached as … Read More