- Data, Statistics and AI for Well-Being of People and Organisations
- A cura di Luigi Fabbris, Alberto Franci, Pietro Renzi
The development of artificial intelligence: New directions and multidimensional implications
- Giuseppe Lecardane
- © 2026 Author(s) |
- CC BY 4.0
- DOI: 10.36253/979-12-215-1062-1.44
The development of Artificial Intelligence (AI) is radically transforming economic, social, and cultural sectors, opening up new possibilities while also raising complex challenges. This study explores emerging directions in AI, examining its implications through a multidimensional analysis that combines Principal Component Analysis (PCA) and Cluster Analysis. The integrated methodological approach allows for the identification and mapping of key factors influencing AI development, exploring its various applications, opportunities, and risks. The analysis also highlights how ethical, political, and regulatory challenges are interconnected with AI's evolution and require multidisciplinary approaches to ensure balanced and sustainable development. This study, therefore, provides a useful framework for understanding the future dynamics of AI, laying the groundwork for reflection on the policies and strategies necessary to manage its impact.
- Keywords:
- AI,
- PCA,
- Development,
- Multidimensional,
ISTAT, Italian National Institute of Statistics, Italy
- Abdi, H., Williams, L. J. (2010). Principal Component Analysis. Wiley Interdisciplinary Reviews: Computational Statistics, 2(4), pp. 433-459. DOI: 10.1002/wics.101
- European Commission (2024). Regulation (EU) 2024/1689 laying down harmonised rules on artificial intelligence (AI Act). Official Journal of the European Union. DOI: 10.2139/ssrn.4724557
- European Court of Auditors (2024). Special Report 08/2024: EU Artificial Intelligence Ambition. Luxembourg: Publications Office of the European Union.
- Eurostat (2025). Use of Artificial Intelligence in Enterprises. Statistics Explained (https://ec.europa.eu/eurostat/statisticsexplained).
- Johnson, R., Wichern, D.W. (2007). Applied Multivariate Statistical Analysis (6th ed.). Upper Saddle River, NJ: Pearson Prentice Hall.
- Lecardane, G. (2024). La statistica ufficiale si misura con le sfide dell’intelligenza artificiale. Fourteenth Italian Conference on Statistics. Dipartimento di Scienze Politiche Sociali, Università degli Studi di Catania.
- Stanford University HAI. (2025). Artificial Intelligence. Index Report 2025. DOI: 10.64576/0101
Informazioni sul capitolo
Titolo del capitolo
The development of artificial intelligence: New directions and multidimensional implications
Autori
Giuseppe Lecardane
Lingua
Inglese
DOI
10.36253/979-12-215-1062-1.44
Opera sottoposta a peer review
Anno di pubblicazione
2026
Copyright
© 2026 Author(s)
Licenza d'uso
Licenza dei metadati
Informazioni bibliografiche
Titolo del libro
Data, Statistics and AI for Well-Being of People and Organisations
Curatori
Luigi Fabbris, Alberto Franci, Pietro Renzi
Opera sottoposta a peer review
Numero di pagine
420
Anno di pubblicazione
2026
Copyright
© 2026 Author(s)
Licenza d'uso
Licenza dei metadati
Editore
Firenze University Press
DOI
10.36253/979-12-215-1062-1
ISBN Print
979-12-215-1061-4
eISBN (pdf)
979-12-215-1062-1
eISBN (xml)
979-12-215-1063-8
Collana
Applied Statistics Series