Blockchain for AI: Review and Open Research Challenges

By Khaled Hamed Salah, Muhammad Habib Ur Rehman, Nishara Nizamuddin, Ala Al-Fuqaha. IEEE Access, 2019

775 citations recorded by the source corpus.

Recently, artificial intelligence (AI) and blockchain have become two of the most trending and disruptive technologies. Blockchain technology has the ability to automate payment in cryptocurrency and to provide access to a shared ledger of data, transactions, and logs in a decentralized, secure, and trusted manner. Also with smart contracts, blockchain has the ability to govern interactions among participants with no intermediary or a trusted third party. AI, on the other hand, offers intelligence and decision-making capabilities for machines similar to humans. In this paper, we present a detailed survey on blockchain applications for AI. We review the literature, tabulate, and summarize the emerging blockchain applications, platforms, and protocols specifically targeting AI area. We also identify and discuss open research challenges of utilizing blockchain technologies for AI.

Subfields: Cognitive Neuroscience, Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/2614a0d0213e8cc457ea62b435a8f43dea54245a

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Citations in the corpus

A Survey on Blockchain Technology: Evolution, Architecture and Security (2021, background): “…has given rise to autonomous trust management in a decentralized way between two concerned parties in the form of smart contracts while artiﬁcial intelligence (AI) paves the way for intelligent decision-making for machines at par with humans, and even in some cases with more efﬁciency [117].”
Artificial Intelligence and Blockchain Integration in Business: Trends from a Bibliometric-Content Analysis (2022, neutral): “This article also delivers important implications to different stakeholders, including business managers, AI and blockchain developers, information technology (IT) vendors, and future scholars.”
Privacy-Preserving Solutions for Blockchain: Review and Challenges (2019, background): “Intelligence (AI) techniques, as discussed in [157], which discusses potential scenarios, such as energy or smart agriculture.”
Accounting and auditing with blockchain technology and artificial Intelligence: A literature review (2023, neutral): “The following cases exemplify the advantages of blockchain ’ s various broad technological applications whereby it can: a) transform AI (Salah et al., 2019); b) technologically develop digital currencies, privacy assurance, cybersecurity, and smart contract security; c) achieve the scalability of…”
Enabling Massive IoT Toward 6G: A Comprehensive Survey (2021, background): “As a result, the decisions made by AI may be delayed and highly erroneous [147].”
A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions (2020, background): “This integrated framework provides substantial development in various domains such as banking, medical, financial, personal and trading [69].”
A Survey of Blockchain From the Perspectives of Applications, Challenges, and Opportunities (2019, background): “Blockchain is basically a chain of blocks that store all committed transactions using a public ledger [3].”
A Survey on Ethereum Systems Security (2019, background): “The success of Ethereum ushers in Blockchain 2.0, which has many applications in Artificial Intelligence [165], Internet of Things [62, 122, 172], and digital assets [113, 114].”
The Role of Big Data Analytics in Industrial Internet of Things (2019, neutral): “Emerging technologies, such as fog computing and blockchain, can play a pivotal role in BDA for IIoT [113].”