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Integration of Artificial Intelligence in DeFi

Integration of Artificial Intelligence in DeFi
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Author(s): Edisa Koro (University “Ukshin Hoti” Prizren, Kosovo)
Copyright: 2024
Pages: 23
Source title: Decentralized Finance and Tokenization in FinTech
Source Author(s)/Editor(s): Luan Vardari (University "Ukshin Hoti" Prizren, Kosovo)and Isuf Qabrati (University "Ukshin Hoti" Prizren, Kosovo)
DOI: 10.4018/979-8-3693-3346-4.ch009

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Abstract

This chapter looks at the interaction of decentralized finance and artificial intelligence in the financial industry. The investigation begins with a review of the history and objectives, laying the groundwork for a thorough study. Section 2 goes into the foundations of DeFi, addressing key ideas and ecosystem components necessary for understanding how it works. Following that, Section 3 explores AI's revolutionary potential in finance, focusing on its role in financial services and the many AI technologies driving industry innovation. Section 4 focuses on real-world applications, emphasizing use cases such as automated trading algorithms, risk management, fraud detection, and decentralized oracle networks to demonstrate the practical ramifications of merging DeFi with AI. Section 5 then discusses the issues and considerations that come with this paradigm change, such as ethical and regulatory concerns, as well as security threats related with decentralized technology and AI-powered systems. Finally, Section 6 provides a forward-looking view by highlighting themes that will impact the future.

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