# Blockchain Technology and Artificial Intelligence Together: A Critical Review on Applications
###### Abstract  
It is undeniable that the adoption of blockchain- and artificial intelligence (AI)-based paradigms is proceeding at lightning speed. Both paradigms provide something new to the market, but the degree of novelty and complexity of each is different. In the age of digital money, blockchains may automate installments to allow for the safe, decentralized exchange of personal data, information, and logs. AI and blockchains are two of the most talked about technologies right now. Using a decentralized, secure, and trustworthy system, blockchain technology can automate bitcoin payments and provide users access to a shared ledger of records, transactions, and data. Through the use of smart contracts, a blockchain may also regulate user interactions without the need for a central authority. As an alternative, AI provides robots with the ability to reason and make decisions and human-level intellect. This revelation led to a thorough assessment of the AI and blockchain combo created between 2012 and 2022. This critical review contains 121 articles from the recent decade that investigate the present situation and rationale of the AI and blockchain combination. The integration's practical application is the emphasis of this overview's meatiest portion. In addition, the gaps and problems of this combination in the linked literature have been studied, with a focus on the constraints. blockchain technology; artificial intelligence; AI; critical review; AI applications +
Footnote †: journal: Applied  
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Footnote †: journal: Applied  
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Footnote 1: email: _Applied_  
2022 by the author. Recent years have seen progress toward the concept of decentralized AI. A combination of these two technologies is the basis for decentralized AI (blockchains and AI) [11]. In a distributed and intermediary-free manner, it allows for the execution and storage of trustworthy, carefully tagged, and shared data on the blockchain [12]. The blockchain is now anticipated as a trusted platform to preserve such information, and simulated intelligence is described to work with massive amounts of data [13]. Blockchains may be programmed with smart contracts, allowing trusted third parties to monitor data access and sharing between users [14]. After being exposed to an autonomous system, a machine, and several scenarios, they may adapt and learn, yielding accurate and reliable decision-making outcomes that are unanimously sanctioned by all blockchain mining nodes [15; 16]. As a result, everyone with a vested interest may trust and endorse such decisions. AI procedures using blockchains may provide decentralized deduction of how to promote security and trust in information sharing and choice outcomes across countless independent operators, which can contribute, arrange, and vote on future choices [17]. The convergence of AI and blockchain technology has produced several practical benefits [18]. Blockchain technology allows for the safe keeping of patient records in the healthcare industry. If they are permitted access, medical practitioners may learn valuable lessons from the patterns mined by AI in this data. Remarkably, their combined use has enabled the healthcare sector to deal with the COVID-19 pandemic [19]. One forward-thinking example is BurstIQ, a blockchain-based startup that offers data solutions for the healthcare sector and offers a health wallet using blockchain technology, AI, and big data to handle patient data. Medical providers may access patient health data via the wallet whenever needed [20]. Increased transaction speeds and mutual trust are two ways in which merging these two technologies is revolutionizing the financial services sector [21]. As can be seen in Figure 1, there are notable differences between blockchains and AI from a technological standpoint, yet these two technologies can be combined to address each other's weaknesses. Integrating AI with a blockchain has been claimed to have far-reaching implications in fields as diverse as 6G networks, smart cities, banking, and driverless cars [22].