The Impact of Artificial Intelligence on Information Systems: Opportunities and Challenges

Аннотация

The increased speed at which Artificial Intelligence (AI) is integrated in Information Systems (IS) is the paradigm shift in the way organizations operate, manage their data and make decisions. In this paper, the authors are going to address the multidimensional role of AI in new IS, which is characterized by both the opportunities to transform it and the urgency of challenges related to this technology. That is why the research is based on a data-driven approach, which is cross-sectional since the current paper examines empirical studies and real-life case examples and provides statistical researches in high-impact journals and technology reports around the world to study how AI technologies: e.g., machine learning, natural language processing, intelligent automation, and others redesign IS architectures across industries. The study reveals a huge improvement of operational efficiency, cost- The American Journal of Engineering and Technology 151 https://www.theamericanjournals.com/index.php/tajet saving, accuracy of data processing and real-time operational efficiency, but also in business decision making. Nonetheless, it is also revealing the differentiation and business innovation. Nevertheless, challenges (such as; algorithmic biases, data governance along with the potential of AI in the IS being huge, the issues, ethical concerns, and cybersecurity risks). On the move is also filled with considerable obstacles to dealing thematic review of 25+ credible studies, it will be found with ethics, data security, system complexity, and that whereas the AI-driven IS enhances scaling and adherence to regulations. responsiveness, its adoption process is not always The idea of AI describes the process of replicating smooth due to the lack of technical preparedness, human intelligence in a machine especially in a compliance with regulations, and skepticism towards computer system that is able to learn based on the the use of AI in the decision-making process. This paper information presented and draw conclusions with less is novel because of integrating the analysis of the human input. Conversely, Information Systems are opportunities and the challenges, providing the structured processes that receive, process, hold as well balanced picture with estimable figures. The results as distribute information to assist functions of indicate that there is strategic alignment that is required management, operation as well as strategy inside an between AI innovations with IS governance framework institution. By integrating the concept of AI, IS systems to realize full potential of AI. Suggestions to design developed along those lines exploit the capabilities of ethical, resilient, as well as efficient AI-augmented IS machine learning, deep learning, computer vision, and infrastructures are presented to businesses, natural language processing to develop adaptive and policymakers, and system designers. It can be argued autonomous systems that could process large volumes that the present paper would serve the community of of data on-demand. The systems have played a critical academia and the field of industry strategy by laying out role in facilitating more advanced capabilities including the step-by-step framework that involves the predictive maintenance in the manufacture of goods, sustainable and secure development of AI within detecting fraud in banking operations, intelligent supply corporate IS ecosystems. chain forecasting, and the personalization of a customer Keywords: Artificial Intelligence, Information Systems, experience in retailing. Companies using such systems Digital Transformation, Business Analytics, have reported great speed, accuracy, scalability, and Technological Integration handling unstructured data, which is very difficult to attain by using the traditional IS architecture. 1. Introduction Although such advantages apply, AI integration in IS is The reason is that in the era of the digital not devoid of complications. The question regarding the transformation, the combination of Artificial Intelligence level of algorithmic bias is among the most critical issues (AI) systems and Information Systems (IS) has turned out that have arisen as AI models, which have been trained to be an extremely effective driver of change across using biased or incomplete data, develop decisions that different industries. The possibility created with the AI turn out to be discriminatory and faulty. It is particularly of radically transforming Information Systems formerly problematic in the context of, say, the healthcare, providing the means of data storage, retrieval, as well as financial industries, and criminal justice in which the AI- performing usual management functions, is now being based decision-making can be of great social put into effect due to the extended range of consequence to people. Furthermore, owing to the so- functionality with which the AI is endowed. These called black box problem i.e., the inability to