Version 1
: Received: 6 October 2021 / Approved: 8 October 2021 / Online: 8 October 2021 (10:55:13 CEST)
Version 2
: Received: 4 December 2021 / Approved: 6 December 2021 / Online: 6 December 2021 (15:04:37 CET)
Sadman, N.; Ahsan, M.M.; Rahman, A.; Siddique, Z.; Gupta, K.D. Promise of AI in DeFi, a Systematic Review. Digital 2022, 2, 88-103. https://doi.org/10.3390/digital2010006
Sadman, N.; Ahsan, M.M.; Rahman, A.; Siddique, Z.; Gupta, K.D. Promise of AI in DeFi, a Systematic Review. Digital 2022, 2, 88-103. https://doi.org/10.3390/digital2010006
Sadman, N.; Ahsan, M.M.; Rahman, A.; Siddique, Z.; Gupta, K.D. Promise of AI in DeFi, a Systematic Review. Digital 2022, 2, 88-103. https://doi.org/10.3390/digital2010006
Sadman, N.; Ahsan, M.M.; Rahman, A.; Siddique, Z.; Gupta, K.D. Promise of AI in DeFi, a Systematic Review. Digital 2022, 2, 88-103. https://doi.org/10.3390/digital2010006
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. We further conclude from our extensive literature review that we can identify possible 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.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Commenter: Kishor Datta Gupta
Commenter's Conflict of Interests: Author