International Projects | Language Technologies Lab

Principles Of Law In National and European VAT (POLINE)

Wed, 01 Jan 2025 00:00:00 +0000

POLINE aims at developing an AI-powered pilot tool for the retrieval and analysis of judicial principles of law in the CJEU and national case-law in Value Added Tax (VAT). The tool relies on AI techniques for extracting, clustering and linking judicial principles of law and is embedded in a modular platform, consisting of a Legal Database, Link Visualization and Customised Detection Module. It covers the case-law of the CJEU and the Italian, Swedish and Bulgarian Supreme Courts and will be accessible to judges, other legal practitioners, tax policymakers and taxpayers. The development of the tool will be based on a multidisciplinary approach combining theory and practice of judicial decision-making for the study of the concept of “judicial principle of law” and the analysis of the case-law; legal informatics methods for the creation of an ontology of judicial concepts in VAT and training datasets of annotated judicial principles of law; AI, machine learning, and NLP techniques for the automatic extraction of principles, the detection of textual and semantic similarity, and network analysis. The tool will be trialled in 3 online national testing events and disseminated in 3 national demonstration events and 1 final international conference. The pilot tool provides a robust and trustworthy use case of AI technologies for justice. It will provide non-discriminatory and effective access to justice. Through its collection of principles of law and NLP-powered search engine, the tool will assist judges in accessing legal knowledge reducing their work overload. Moreover, through the Customised Detection Test Module, the tool will allow recipients of VAT measures to identify judicial principles of law applied in a specific case and assess whether VAT law is correctly applied. By developing open-access automated techniques of knowledge extraction, the methods developed can be easily reused and expanded to include other fields of law and other legal systems.

Future Artificial Intelligence Research (FAIR)

Mon, 01 Jan 2024 00:00:00 +0000

The objective of the FAIR project is to contribute facing the research questions, methodologies, models, technologies, and ethical and legal rules to build AI systems capable of interacting and collaborating with humans, perceiving and acting in evolving contexts, to be conscious about their limits and capable to adapt to new situations, to be aware of the perimeters of safety and trust, and to be careful with the environmental and social impact that their creation and functioning may cause.

A European AI On Demand Platform and Ecosystem (AI4EU)

Sun, 01 Jan 2023 00:00:00 +0000

The EU-funded AI4EU is working to change Europe’s place in this race, by building the first European AI On-Demand Platform and Ecosystem that will share resources, tools, knowledge, algorithms and more between Member States. It will help to increase innovation and technology transfer, accelerate the growth of start-ups and SMEs, and fulfill the needs of the European AI community. The project will implement eight pilots led by industrial partners to demonstrate the platform’s capabilities.

Stairway to AI: Ease the Engagement of Low-Tech users to the AI-on-Demand platform through AI (StairwAI)

Sat, 01 Jan 2022 00:00:00 +0000

The StairwAI project targets low-tech users with the goal of facilitating their engagement on the AI4EU on-demand Platform. This will be achieved through a new service layer enriching the functionalities of the on-demand platform and containing: (1) a multi-lingual interaction layer enabling conversations with the Platform in the user’s own language, (2) a horizontal matchmaking service for the automatic discovery of AI assets (tools, data sets, AI experts, consultants, papers, courses etc.) meeting the user business needs and, (3) a vertical matchmaking service that will dimension and provision hardware resources through a proper hardware provider (HPC, Cloud and Edge infrastructures).

Analytics for DEcision of LEgal cases (ADELE)

Fri, 01 Jan 2021 00:00:00 +0000

Project ADELE is premised on the ongoing paradigm shift towards cognitive computing and human-centered AI which is transforming many socio-economic activities, including justice. The project applies legal analytics (LA) – a blend of data science, machine learning, and natural language processing techniques – to judicial decisions. It aims to develop methods to extract knowledge and engage in outcome predictions and there build a pilot tool to support legal research and decision-making processes in the judiciary.

European Network of Human-Centered Artificial Intelligence (HUMANE-AI-NET)

Fri, 01 Jan 2021 00:00:00 +0000

Facilitating a European brand of trustworthy, ethical AI that enhances Human capabilities and empowers citizens and society to effectively deal with the challenges of an interconnected globalized world. Funded by the European Commission under H2020, ICT-48. The University of Bologna participates with 4 departments: Computer Science and Engineering, Mathematics, Biomedical and Neuromotor Sciences, and Political and Social Sciences. We coordinate the Humane-AI-Net activities for the University of Bologna and work on several projects: the micro-project Ethical Chatbots, the micro-project Promoting Fairness and Diversity in Speech Datasets for Affective Computing, the micro-project A Transparent and Explainable Dialogue System for Immigration Services, the macro-project “Learning with LLMs: Supporting complex reasons, planning & argumentation applied to provide educational guidance”.

automated CLAUse DETectEr (CLAUDETTE)

Sun, 01 Jan 2017 00:00:00 +0000

CLAUDETTE is an interdisciplinary research project hosted at the Law Department of the European University Institute. The research objective is to test to what extent is it possible to automate reading and legal assessment of online consumer contracts and privacy policies, to evaluate their compliance with EU’s unfair contractual terms law and personal data protection law (GDPR), using machine learning and grammar-based approaches.