Artificial intelligence (AI) has contributed to automation in various industries with the intention of improving efficiency and reducing labor costs. Such developments in technology have pushed organizations in both the private and public sectors to incorporate AI into their operations. According to Hengstler et al. (2016), there has been an increased application of AI in the development of medical assistance equipment and autonomous vehicles compared to other sectors. Nonetheless, the authors note that even with advanced developments in the manufacture of AI-related products, there is skepticism in society regarding the applications of the technology. Individuals and companies alike are uncertain of the safety of these products mainly because they lack adequate knowledge on the same. Hengstler et al. (2016) suggest that the best approach to take in enhancing trust in the use of AI is viewing the relationship between the company and the technology from a human social interaction perspective. The more employees are comfortable while working with AI-enabled equipment, the higher the trust level. Consequently, the UAE needs to develop strategies that enhance the simplicity of the interaction between individuals and AI. Building Trust in AI, Machine Learning, and Robotics Similar to other relationships, trust between humans and the various forms of technology is hard to come by. However, Siau and Wang (2018) note that there is a difference between trust in artificial intelligence and trust in other technological inventions. Consequently, the researchers illustrate four factors that play a significant role in building the relationship between people and AI. Representation is the first component that individuals look at before deciding to use an AI. It is always important that the newly introduced technology, for instance, robots, represent human behavior as much as possible (Siau & Wang, 2018). This approach will act as a foundation for the trust of the users. Secondly, new AI users rely on previous reviews to determine whether they are confident in technology or not, particularly if their safety is at risk. Thirdly, the researchers also indicate that transparency and the ability to understand the functions of an AI are crucial in developing trust. The technology should be capable of justifying the decisions its making and the resulting behaviors. Finally, usability and reliability are essential in the continuous trust of artificial intelligence, and it is essential that the AI is designed in a manner that is easy to operate. The four suggested factors must be integrated into the UAE strategies if citizens are to trust the use of AI successfully. Cloud-Based Life-Cycle Management for Trusted AI Trust in the use of AI in organizational setups transcends building it in the primary stages. Companies need to ensure that the element of trust is maintained throughout all operations. Consequently, Hummer et al. (2019) suggest a cloud-based life-cycle model to ensure organizations are ready for AI adaption and leverage its full potential in its application. ModelOps is an example of a framework that companies can use to use the technology is used effectively in various operations. The algorithms used in the model consider the needs of the environment, which