Aura Elena Amironesei (p), Carmen Tamara Ungureanu (p)

Claudia Zola

We are witnessing an accelerated technological evolution that has enabled the development of artificial intelligence in various fields, allowing it to gradually infiltrate the entire society. We intend to cover only a small subset of AI technologies in our paper, that of smart assistants or, in other words, Generative Artificial Intelligence (GenAI).
Our objectives are to shed light on the legal issues that GenAI can cause and to find solutions to them. We will begin with a definition of GenAI in the much broader context of AI technologies. Answers to a few essential questions are to be found: "How does GenAI work?", "What could GenAI be used for?", "What legal issues could arise from using a GenAI?".
To accomplish our goals, we will first conduct a literature review to define artificial intelligence (AI) in general and GenAI in particular. Several case studies (still pending) in US courts will be used to illustrate the magnitude of the legal problems and to test the feasibility of possible solutions in both the national and EU legal systems. Another methodological approach will be a desk-based research which will include an overview of the most common Generative AI Terms & Conditions on this subject.

Claudia Zola (p)

Carmen Tamara Ungureanu

The degree of digitization has increased in several sectors across Europe, especially since the Covid-19 pandemic crisis. To encourage this process, a lot of funds have been allocated in the Recovery and Resilience Plan. As the literature shows, implementing digitization is important for improving development and quality of life. However, digital in itself is not a determinant of development. It is necessary to consider the relationships between it and the various factors with which it must coexist, such as institutional framework, human and organizational capital. The study aims to analyze the territory of Emilia-Romagna through the indicators of digitization and development of complementary factors. A cluster analysis and a poset methodology are proposed to identify municipal areas where this link is present or needs to be strengthened. It turns out that there is a correlation between the level of digitization and the development of complementary factors. The municipalities where this relationship is strongest are in the top 10 of the ranking and are classified as urban poles, according to SNAI classification. The region is characterized by strong spatial differences between and within clusters. A policy suggestion also emerges: action is needed for municipalities that score low in only one dimension, especially if that dimension is an impact factor among those identified in the sensitivity analysis.