Promise of AI in DeFi, a Systematic Review

Abstract

Decentralized Finance (DeFi) is an emerging and revolutionizing field with notable uncertainties of reliability to be used on a mass scale. On the other hand, Artificial Intelligence (AI) has proved to be a crucial helping tool in numerous domains. In this study, we present a systematic review of the utility of AI in DeFi in terms of impact, reliability, and security and conduct exhaustive analysis. The review was motivated by an in-depth investigation of recently published literature that prioritized AI and DeFi in their research. This research, like many prior studies, examined the articles in terms of impact, reliability, and security. In addition, a new relevance score is introduced to better comprehend the quality of the content. According to investigation, the combination of AI and DeFi is one of the trending research topics that lacks adequate interpretations of black-box methodologies. Furthermore, it was discovered that one of the primary issues in DeFi is security, and numerous technologies, including blockchain technology and machine learning approaches, have been used to minimize such challenges. We hope that the gap addressed throughout this review will give insights to future researchers and practitioners, ultimately leading to new research opportunities in AI to bridge the gap of trust between peers and make the integration of DeFi more agile in the near future.

Enhancing Blockchain Technology Platforms: Leveraging Artificial Intelligence for Optimal Support and Efficiency

“…The paper discusses how there are experiments and tests being done on how AI programs can be created that combat this issue without the need for centralized power. This will allow maximum confidentiality and no association or opportunity for banks and governments to profit (Sadman et al 2022). The second paper pertains to the imminent issue of security and how it is violated in many ways in regard to blockchain platforms.…”

Artificial Intelligence applications in Noise Radar Technology

“…AI has many applications, from which we can distinguish the following: Machine Learning is the concept of having an algorithm which can make decisions, learn and adapt without human intervention. Like other sub‐topics of AI, it can be used on a broad range of applications, such as radar technology [69] and Decentralised Finance (DeFi) [70]; Computer Vision objective is to retrieve meaningful information from digital images or videos. It seeks to simulate human intelligence by creating automatic systems that can perform tasks similarly to the human eye and brain.…”

“…Machine Learning is the concept of having an algorithm which can make decisions, learn and adapt without human intervention. Like other sub‐topics of AI, it can be used on a broad range of applications, such as radar technology [69] and Decentralised Finance (DeFi) [70];…”

Developing an Ethical Framework for Responsible Artificial Intelligence (AI) and Machine Learning (ML) Applications in Cryptocurrency Trading: A Consequentialism Ethics Analysis

“…This study bridges the gap in current understanding by providing a consequentialist perspective on AI and ML application in cryptocurrency trading, further substantiated through a comprehensive literature review and an analysis of a case study involving Sam Bankman-Fried (SBF) and FTX to deepen the discussion and provide a grounded perspective. This approach offers an opportunity to incorporate the technical aspects of AI and ML into cryptocurrency trading [4][5][6][7][8][9].…”