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The paper describes the diachronic development of two Italian idioms originated in the Bible: gettare le perle ai porci ('to cast pearls before swine') and vedere la pagliuzza e non vedere la trave ('a beam in your eye', literally 'to look at the splinter and not at the beam'). In particular, it focuses on the spread, among variants, of the most common forms today, those with the nouns perle and porci, and pagliuzza and trave. [ABSTRACT FROM AUTHOR]

(Series Information) European Papers - A Journal on Law and Integration, 2024 9(1), 105-116 | European Forum Insight of 20 May 2024 | (Table of Contents) I. Introducing the impact of Artificial Intelligence. – II. The AI Act: the risk architecture. – III. Further AI policies: development incentives and state regulatory frameworks. – IV. Proposals for legislation and other measures in Italy. – V. The human-centric approach. | (Abstract) The development of new emerging technologies, such as artificial intelligence, has sparked a scientific debate on their risks and benefits. This debate necessitates legal and regulatory considerations, particularly regarding the balance between technological growth and the protection of human rights. This Insight analyses the legal framework established by the European Union in its initial regulatory measures. The Insight highlights the importance of considering the human-centric perspective and adopting a risk-based methodology in the Artificial Intelligence Act. It also mentions the AI regulatory measures proposed by Member States, with a particular focus on Italy.

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The growing presence of artificial intelligence (AI) in the management of civil and social life as well as in economic and political organization has led to a debate on AI involved in various scientific, philosophical, legal and moral questions, including cultural ones. In this paper, after a brief presentation of the application of AI in art and culture, we focus on art production using AI and the digital reproduction of art which temporally precedes that of AI-generated art. The very idea of artistic beauty emanating from works of art produced with AI is consequently questioned, giving rise to a new creativity that is to be added to the human creativity of an artist's products. Lastly, the possibility is raised that specific generative algorithms may contribute to the resolution of the topical debate on the issue of attribution and authentication of works of art.

Il contributo si propone di indagare i meccanismi di automazione nel processo civile nelle procedure concorsuali, attraverso l'analisi della normativa di riferimento sia del processo telematico che del Codice della crisi d’impresa e dell’insolvenza. A tal fine, si prenderà in considerazione il grado di automazione dei procedimenti, evidenziandone le criticità e le funzioni non ancora implementate; si procederà inoltre ad una comparazione con i sistemi processuali di Germania, Francia e Spagna; si tratteggeranno infine le conclusioni in vista di prospettive future utili ad una maggiore armonizzazione tra procedimenti giurisdizionali e tecnologia. The paper aims to investigate the mechanisms of automation in civil and insolvency procedures, through the analysis of the reference legislation of both the telematic process and the New Insolvency Law. To this end, the degree of automation of proceedings will be taken into consideration, highlighting critical issues and functions not yet implemented; a comparison will be made with the procedural systems of Germany, France and Spain; conclusions will be drawn in view of future outlooks useful for a greater harmonisation between judicial proceedings and technology.

This comprehensive review synthesizes the wealth of scientific literature pertaining to the application of Artificial Intelligence (AI) in the field of metabolomics. Over the past decade, AI has played an increasingly pivotal role in deciphering the complexities of metabolomic data, offering novel insights into the molecular underpinnings of biological systems. Through an extensive examination of relevant research papers, we provide a comprehensive overview of the diverse AI techniques and methodologies, from data preprocessing and feature selection to predictive modeling and pathway analysis, employed in metabolomics studies. The review dissects key trends and advancements in AI-driven metabolomics, shedding light on its pivotal role in biomarker discovery, disease diagnosis, and personalized medicine. In addition to highlighting the significant contributions of AI to metabolomics, emerging frontiers will be explored, such as the incorporation of multi-omics data integration and the growing importance of explainable AI in biological research. Ultimately, this review underscores the transformative impact of AI on metabolomics, emphasizing its potential to reshape our understanding of metabolic pathways, disease mechanisms, and therapeutic interventions. The combination of AI and metabolomics stands as a powerful paradigm shift with far-reaching implications for advancing both fundamental scientific knowledge and practical applications across diverse domains.

This article is both an editorial introduction to the guest-edited special issue of JoSTrans on Translation Automation and Sustainability, and a position paper in which we propose a model for evaluating the sustainable use of automation technology in translation and beyond. As grounding notions, the article reviews definitions of automation and considers the urgency of sustainability. Thereafter we propose an adaptation of Elkington’s (1997) triple bottom line, giving equal weight to evaluation based on people, planet, and performance, describing each of these elements in turn. Finally, we introduce the articles from this special issue, in which authors describe various aspects of automation technology in translation with a focus on sustainability.