Abstract
There has been increased interest in applying artificial intelligence (AI) in various settings to inform decision-making and facilitate predictive analytics. In recent times, there have also been attempts to utilize blockchain (a peer-to-peer distributed system) to facilitate AI applications, for example, in secure data sharing (for model training), preserving data privacy, and supporting trusted AI decision and decentralized AI. Hence, in this paper, we perform a comprehensive review of how blockchain can benefit AI from these four aspects. Our analysis of 27 English-language articles published between 2018 and 2021 identifies a number of research challenges and opportunities.
Highlights
Artificial intelligence (AI), an important branch of computer science, underpins the research and development of the theory(ies), method(s), technology(ies), and application(s) for simulating, extending, and expanding human intelligence
There may be some malicious behavior, which will influence the model’s quality. e choice of dependable workers is highly vital for task publishers. For this problem to be solved, the authors in [68] proposed to utilize consortium blockchain to manage workers’ reputation. e architecture of the system in this paper suggested that the task publisher evaluates the model quality and generates reputation opinions after receiving the local model uploaded by all workers. e reputation opinions are stored in the block and maintained by the consortium blockchain after being verified by the miners of consortium blockchain
We explained how the different characteristics of blockchain can be used in supporting data sharing, privacy preserving, trusted AI decision, and decentralized intelligence
Summary
Ruonan Wang ,1,2 Min Luo ,1 Yihong Wen, Lianhai Wang, Kim-Kwang Raymond Choo ,5 and Debiao He 1,2. Ere has been increased interest in applying artificial intelligence (AI) in various settings to inform decision-making and facilitate predictive analytics. There have been attempts to utilize blockchain (a peer-to-peer distributed system) to facilitate AI applications, for example, in secure data sharing (for model training), preserving data privacy, and supporting trusted AI decision and decentralized AI. In this paper, we perform a comprehensive review of how blockchain can benefit AI from these four aspects. Our analysis of 27 English-language articles published between 2018 and 2021 identifies a number of research challenges and opportunities
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