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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: Theoretical foundations, applications, and societal implications. In Nuno Geada, Rohit Sood, Ajay Sidana (Ed.), Revolutionizing the global stock market: Harnessing blockchain for enhanced adaptability . (pp. 226-244).: IGI Global.
Exportar Referência (IEEE) 
N. F. Geada,  "Artificial intelligence: Theoretical foundations, applications, and societal implications", in Revolutionizing the global stock market: Harnessing blockchain for enhanced adaptability , Nuno Geada, Rohit Sood, Ajay Sidana, Ed., IGI Global, 2024, pp. 226-244
Exportar BibTeX 
@incollection{geada2024_1782536893829,
	author = "Geada, N.",
	title = "Artificial intelligence: Theoretical foundations, applications, and societal implications",
	chapter = "",
	booktitle = "Revolutionizing the global stock market: Harnessing blockchain for enhanced adaptability ",
	year = "2024",
	volume = "",
	series = "",
	edition = "",
	pages = "226-226",
	publisher = "IGI Global",
	address = "",
	url = "https://www.igi-global.com/gateway/chapter/344549"
}
Exportar RIS 
TY  - CHAP
TI  - Artificial intelligence: Theoretical foundations, applications, and societal implications
T2  - Revolutionizing the global stock market: Harnessing blockchain for enhanced adaptability 
AU  - Geada, N.
PY  - 2024
SP  - 226-244
DO  - 10.4018/979-8-3693-1758-7.ch012
UR  - https://www.igi-global.com/gateway/chapter/344549
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 chapter, the authors 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. They discuss the key concepts and techniques underlying AI, including machine learning, deep learning, and natural language processing. They then explore the applications of AI in various fields, including healthcare, finance, supply chain management, and climate change. They also examine the societal challenges and risks associated with AI, such as algorithmic bias, privacy violations, and job displacement. Finally, they discuss the future of AI and the need for responsible development and deployment of this technology. Analysis highlights the complex and multifaceted nature of AI and underscores the importance of a multidisciplinary approach.

ER  -