Ital-IA è il terzo Convegno Nazionale CINI sull'Intelligenza Artificiale, organizzato per sviluppare obiettivi comuni tra istituzioni pubbliche, industria italiana e la ricerca scientifica delle università e dei centri di ricerca nazionali. Ital-IA ha l'ambizione di "fare rete nazionale" tra tutte le azioni che si stanno disegnando in questi mesi in Italia per cogliere le potenzialità di sviluppo legate alle tecnologie dell'Intelligenza Artificiale.
The 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023) is organized by AIxIA (Associazione Italiana per l’Intelligenza Artificiale) , which is a non-profit scientific society founded in 1988 and devoted to the promotion of Artificial Intelligence. The society aims to increase the public awareness of AI, encourage the teaching of it and promote research in the field.
The World Conference on Explainable Artificial Intelligence (XAI 2023) is an annual event that aims to bring together researchers, academics, and professionals, promoting the sharing and discussion of knowledge, new perspectives, experiences, and innovations in the field of eXplainable Artificial Intelligence (XAI).
In the past, machine learning and decision-making have been treated as independent research areas. However, with the increasing emphasis on human-centered AI, there has been a growing interest in combining these two areas. Researchers have explored approaches that aim to complement human decision-making rather than replace it, as well as strategies that leverage machine predictions to improve overall decision-making performance.
In the past decade, machine learning based decision systems have been widely used in a wide range of application domains, like credit score, insurance risk, and health monitoring, in which accuracy is of the utmost importance. Although the support of these systems has an immense potential to improve the decision in different fields, their use may present ethical and legal risks, such as codifying biases, jeopardizing transparency and privacy, and reducing accountability. Unfortunately, these risks arise in different applications.
By offering a large number of highly diverse resources, learning platforms have been attracting lots of participants, and the interactions with these systems have generated a vast amount of learning-related data. Their collection, processing and analysis have promoted a significant growth of machine learning and knowledge discovery approaches and have opened up new opportunities for supporting and assessing educational experiences in a data-driven fashion.
The AI Act (AIA) is a landmark EU legislation to regulate Artificial Intelligence based on its capacity to cause harm. Like the EU’s General Data Protection Regulation (GDPR), the AIA could become a global standard, determining to what extent AI can have an effect on our lives wherever we might be. The AI Act is already making waves internationally. In late September, Brazil’s Congress passed a bill that creates a legal framework for artificial intelligence.