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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Geada, N. (2024). Artificial intelligence: Applications of AI in turbulent times. In Nuno Geada, George Leal Jamil (Ed.), Perspectives on artificial intelligence in times of turbulence: Theoretical background to applications. (pp. 1-12). Hershey: IGI Global.
Exportar Referência (IEEE) 
N. F. Geada,  "Artificial intelligence: Applications of AI in turbulent times", in Perspectives on artificial intelligence in times of turbulence: Theoretical background to applications, Nuno Geada, George Leal Jamil, Ed., Hershey, IGI Global, 2024, pp. 1-12
Exportar BibTeX 
@incollection{geada2024_1722154438360,
	author = "Geada, N.",
	title = "Artificial intelligence: Applications of AI in turbulent times",
	chapter = "",
	booktitle = "Perspectives on artificial intelligence in times of turbulence: Theoretical background to applications",
	year = "2024",
	volume = "",
	series = "",
	edition = "",
	pages = "1-1",
	publisher = "IGI Global",
	address = "Hershey",
	url = "https://www.igi-global.com/gateway/book/320469?ct=-8585013467234850991"
}
Exportar RIS 
TY  - CHAP
TI  - Artificial intelligence: Applications of AI in turbulent times
T2  - Perspectives on artificial intelligence in times of turbulence: Theoretical background to applications
AU  - Geada, N.
PY  - 2024
SP  - 1-12
DO  - 10.4018/978-1-6684-9814-9.ch001
CY  - Hershey
UR  - https://www.igi-global.com/gateway/book/320469?ct=-8585013467234850991
AB  - Artificial Intelligence (AI) has emerged as a transformative technology with the potential to revolutionize many aspects of human life. However, its rapid development and deployment have also raised significant ethical, social, and economic concerns. In this article, we provide a comprehensive overview of the theoretical background and applications of AI, with a focus on its current and potential impact in times of turbulence. We discuss the key concepts and techniques underlying AI, including machine learning, deep learning, and natural language processing. We then explore the applications of AI in various fields, including healthcare, finance, supply chain management, and climate change. We also examine the societal challenges and risks associated with AI, such as algorithmic bias, privacy violations, and job displacement. Finally, we discuss the future of AI and the need for responsible development and deployment of this technology. Our analysis highlights the complex and multifaceted nature of AI, and underscores the importance of a multidisciplinary approach to understanding and addressing its challenges and opportunities.
ER  -