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 StairwAI project targets low-tech users with the goal of facilitating their engagement on the AI4EU on-demand Platform.

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.

This H2020-funded initiative focuses on developing trustworthy, ethical AI through the Humane-AI-Net network, managing projects that range from educational LLMs to fairness in affective computing.

AI4EU is an EU-funded project building a collaborative on-demand platform to share AI resources and tools, aiming to boost innovation and support the growth of the European AI ecosystem.

CLAUDETTE is an interdisciplinary research project hosted at the Law Department of the European University Institute.

The project uses LLMs to integrate unstructured knowledge into industrial pipelines to speed up production and foster technical advancement.

The FAIR project aims to contribute to addressing the research questions, methodologies, models, technologies, and ethical and legal rules to build AI systems capable of interacting and collaborating with humans.

The project develops ad-hoc LLM-based solutions to speed up existing user assistance systems while guaranteeing privacy.

PRIMA studies the law and practice of privacy policies, develops methods and techniques for their automated analysis, and implements a prototype to assess their lawfulness.

A project funded by the University of Bologna to develop an AI system that classifies the research and educational products of the University of Bologna according to their contribution to the 17 Goals of the United Nations 2030 Agenda for Sustainable Development.

The EquAl project addresses algorithmic evaluations, decisions, and predictions, to promote fairness and counter discrimination affecting individuals and groups.

The project applies Legal Analytics methods to legislation, contracts, and judgments to extract legal knowledge, infer relationships, and produce data-driven forecasts.

The AMICA project exploited the argumentative content of the scientific literature on Covid-19 to improve the retrieval of relevant and reliable articles.