Research projects we are working on
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.
We are involved in Spoke 8, "Pervasive Artificial Intelligence", and Transversal Project 2, "Vision, Language and Multimodal Challenges".
A project funded by the University of Bologna aiming to develop an AI system for the automatic classification of 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 project received the “PA a colori” 2024 award for sustainability in public administrations.
GeMEB is a BI-REX technology transfer project, in collaboration with NIER and Mexage aimed to Empower Business Processes and Enhancing Workflows for Improved Performance using Large Language Models and Retrieval-Augmented Generation
SmartCasm is a BI-REX technology transfer project in collaboration with BitBang, Expert.ai, Bonfiglioli and MEP, aiming to empower manufacturing companies via generative AI, LLMs, RAG and knowledge graphs for structured and unstructured knowledge integration.
POLINE is a project aimed at creating an AI-powered tool to retrieve and analyze judicial principles of law within the context of Value Added Tax (VAT) case-law from the Court of Justice of the European Union (CJEU) and the supreme courts of Italy, Sweden, and Bulgaria. The development involves a multidisciplinary approach, combining legal theory, legal informatics, and AI technologies.
PRIMA (PRivacy Infringements Machine-Advice) studies the law and practice of privacy policies, develops methods and techniques for their automated analysis, and implements a prototype to assess their lawfulness.
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".
The project aims to exploit argument mining for the large-scale analysis of scientific articles about Covid-19. Funded by the Italian Ministry of University and Research under the FISR 2020 programme.
We coordinate the scientific activities of the University of Bologna.
The projects investigates the use of legal analytics to extract legal knowledge, infer undiscovered relationships, and engage in data-driven predictions. Funded by the Italian Ministry of Research under the PRIN 2017 programme.
We coordinate the informatics research activities of the project.
The AI4EU Platform serves as a catalyst to aid AI-based innovation, resulting in new products, services and solutions to benefit European industry, commerce and society. Funded by the European Commission under H2020, ICT-26.
We work on integrative AI, tools, and dissemination activities.
The project aims to ease the engagement of low-tech users to the AI-on-demand platform through AI. Funded by the European Commission under H2020, ICT-49.
We lead part of the project activities on horizontal matchmaking, reputation and fairness.
The project applies legal analytics to judicial decisions. It aims to develop methods to extract knowledge and engage in outcome predictions, and therefrom build a pilot tool to support legal research and decision-making processes in the judiciary. Funded by the European Commission's Directorate General Justice and Consumer under JUST-JACC-EJU-AG-2020
We coordinate the work package on argument mining and outcome prediction.
CLAUDETTE is an interdisciplinary research project aiming at the automation of personal data and consumer law enforcement using machine learning.
We contribute with our expertise in language technology and with the development of a tool for the automatic detection of unfair clauses in online Terms of Services.