Blockchain in AI

Abstract

In recent times, the two technologies, artificial intelligence (AI) and blockchain, are the most trending and disruptive in all technologies. Undoubtedly both technologies are covering all the areas of engineering and science with an exceptional rate. These technologies offer various degrees of technological complexity and multi-dimensional business implications. Blockchain is an open, distributed ledger technology that records all the transactions done. These distributed ledger technologies have disrupted the evolving technology sector. Blockchain can authorize and automate payment transactions in cryptocurrency. Also, blockchain has provided access to a shared ledger (block) of data, digital transactions, and logs in an environment that is decentralized, secure, and trusted. Blockchain governs the interactions among distributed participants with the capability of no intermediary or a trusted third party. Blockchain technology is evolving day by day with a fast-passed pace. Now, it is possible to integrate blockchain with many other evolving technologies like robotics with AI services. AI provides intelligence and decision-making capabilities like humans to machines. Data is the main constituent to develop AI and machine learning. Now, AI has a wide variety of uses from finance (stock trading) to web (chatbots) to advanced technology (self-driving cars). Before the advent of big data, AI was a conceptual model. Artificial intelligence (AI) works significantly as a strong analytic tool to analyze big data in a scalable, accurate, and real-time. By using artificial intelligence, the design and development of tools for big data analysis has certain issues like centralized architecture, security, privacy, resource constraints, and lack of enough training data. There is rarely today any human activity, machine control, and business logic that is not considered artificial intelligence in future years and decades. On the contrary, blockchain considers decentralized architecture as an emerging technology. Among the various distributed nodes of the IoT network, secure sharing of data and resources is provided by the blockchain. It is expected to remove centralized control and may overcome the other existing challenges in AI. In this chapter, we consider, emphasize, and analyze how blockchain implementation is supported or enhanced via various AI techniques. We will further review how artificial intelligence may be exploited to achieve the goal of blockchain 2.0. There seem to be numerous possibilities in the alliance of AI and blockchain in Industry 4.0.