Blockchain for Securing AI Applications and Open Innovations

Overview: This study highlighted that Blockchain technology is not just for financial transactions or cryptocurrencies. Rather, Blockchain is seen as an emerging technology for securing crucial applications. Since 2019, there has been massive growth in the publications in the Blockchain domain. Many countries contribute to the research of Blockchain and its applicability, but China and the United States are leading in the contribution. Bibliometric analysis was conducted for “Blockchain” AND “Artificial Intelligence” publications. Most of the literature was available in the English language. About 930 documents out of 957 documents were retrieved from Scopus, and 417 documents out of 442 documents were from Web of Science core collection (and are in English language only). For analysis, documents from all of the languages are considered. Network analysis was completed by using the VoSviewer tool for co-citation, co-occurrence, citation, and bibliographic coupling analysis based on documents, authors, sources etc. Each technology has its degree of complexity, but both Blockchain and AI are in situations where they can benefit from each other and help one another. The integration of machine learning and AI into blockchain, and vice versa, can improve basic Blockchain architecture and increase AI capabilities, respectively. In this study, the focus is Blockchain for Secure AI and open innovation. It can make AI more coherent and understandable, and we can track and determine why decisions are made in learning models and how much trustworthy they are. Blockchain and its ledger can record all data and variables that go through a decision made under AI models. AI can securely access heterogeneous data through Blockchain while maintaining the privacy of data providers and data.