preparatory work
The ProLiFIC dataset: Leveraging LLMs to Unveil the Italian Lawmaking Process
Contestabile, Matilde, Ferrara, Chiara, Giovannetti, Alberto, Parrillo, Giovanni, Vandin, Andrea
Process Mining (PM), initially developed for industrial and business contexts, has recently been applied to social systems, including legal ones. However, PM's efficacy in the legal domain is limited by the accessibility and quality of datasets. We introduce ProLiFIC (Procedural Lawmaking Flow in Italian Chambers), a comprehensive event log of the Italian lawmaking process from 1987 to 2022. Created from unstructured data from the Normattiva portal and structured using large language models (LLMs), ProLiFIC aligns with recent efforts in integrating PM with LLMs. We exemplify preliminary analyses and propose ProLiFIC as a benchmark for legal PM, fostering new developments.
Opinion: 5G, artificial intelligence, data and protecting citizens' trust
Last March, the government of Quebec floated the idea of instituting a Montreal-based international organization responsible for developing the necessary frameworks for artificial intelligence (AI). Montreal seems tailor-made for this role, considering its global leadership in AI and the sustained diplomatic activity within our city. It also stands to reason that this proposed agency's mandate should extend to the development of ethical and legal frameworks for data. This week, I had the honour of addressing the Metropolitan Montreal Chamber of Commerce to outline the significant impact that the next generation of wireless communications would have on Montreal and on Canada. Called 5G, this infrastructure will be 200 times faster than the average wireless connection speeds available today.