Over the past years, foundational models, including large-language models (LLMs) and multi-modal systems, have significantly advanced the possibilities for understanding, analyzing, and generating human language [1]. These models, based on artificial neural network computations trained on a large scale of documents, open the possibility of performing advanced tasks related to language, audio, video, and image processing.

 

However, these models are relatively novel and several crucial open issues need to be addressed. These issues are related both to the development and the impact of these models on society, especially on media and democracy.

 

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