Artificial intelligence is changing the world in unprecedented ways and redefining all areas of human activity. In recent decades, the development of AI has progressed at an extraordinary pace. This study examines the scope of implementing AI in the financial sector, insurance, and financial controlling. The research team focuses on these areas, as the main objective of this review is to provide a comprehensive walk-through and to fill the gaps in the literature related to AI implementation in finance, insurance, and financial control from an economic perspective. We provide a comprehensive overview of AI implementation in finance, insurance, and financial controlling, highlighting crucial issues in that process and identifying the relationship between the development of these economic sectors and AI. The authors’ team identifies the trends and main themes in the existing literature in AI-related publications in finance, insurance, and financial control. We discuss the main advantages and disadvantages of AI implementation, identified by our research, and also make some suggestions regarding future research having in mind the interdisciplinary of the topic, the vast development of AI and technologies, and the increasing demand for AI-based solutions, services and products.

Introduction. Financial literacy has been recognized worldwide as a significant element of stability and economic and financial growth. With the evolution of financial instruments, the growing importance of financial inclusion, its correlation with financial literacy, and the effects they have on sustainability, the concept of financial literacy is dramatically changing and getting more inclusive, spreading the focus on sustainability, sustainable consumption, and environmental preservation. Aim and tasks. The aim of the study is to examine the connection between the population's financial literacy level and greenhouse gas emissions. The working hypothesis claims that there is a relationship between financial literacy and the carbon footprint. Results. The correlation and regression analyses were the main tools in the study, while the dataset for 2014 covered 137 countries, with the main dependent variables being carbon emissions per capita, per unit of gross domestic product, and per unit of energy. The partial correlation coefficients between financial literacy rating and carbon footprint variables were insignificant when controlled for economic development, represented by per capita gross domestic product. Estimated econometric models with financial literacy in quadratic form were adequate and showed a significant connection between financial literacy and carbon emissions per capita and per gross domestic product at the 5% level. The relationship with carbon emissions per unit of energy was significant at the 10% level. In all three models, the relationships followed an inverse U-shape, with low financial literacy increasing the carbon footprint and higher financial literacy decreasing it. The turning numbers for financial literacy were 35.8% for carbon emissions per capita, 41.4% for emissions per unit of gross domestic product, and 32.4% for emissions per unit of energy. Conclusions. Financial literacy was indeed associated with carbon emissions in a complex, non-linear way. The effect of energy consumption on carbon emissions was stronger than financial literacy and appeared to be the driving force for the increase in carbon emissions. With low financial literacy observed in underdeveloped countries, the situation was not favorable for the environment. As financial literacy increased, welfare, income, and consumption increased too, leading to an increase in greenhouse gas emissions, i.e., a bigger CO2 footprint. Once a certain stage of economic development was reached, the relationship was reversed, i.e., in developed countries, financial literacy worked towards reducing the carbon footprint and protecting the environment.

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Introduction. Artificial intelligence (AI) refers to a wide spectrum of breakthroughs that offer multiple advantages to companies in terms of increased sales. Considering the abundance of data and the significant increase in computational resources, organisations have rapidly turned to artificial intelligence (AI) to create financial benefits. Nevertheless, businesses continue to discover it is challenging to implement and employ AI in their everyday activities. Therefore, a comprehensive understanding is required due to the absence of an integrated comprehension of how artificial intelligence creates business value and what kind of corporate worth is anticipated. Aim and tasks. The study aims to review value-generating methods and explain how enterprises might use AI technology in their business activities. To accomplish its main aims, this study offers a thorough literature review. The working hypothesis claims that the use of AI can increase business value. Results. This study examines the research capabilities of AI, its use in the corporate environment, and its initial and secondary impacts. The impact of AI includes process efficiency, generating insights hidden in huge amounts of data, and transforming business processes in terms of procedural actions, operational efficiency, financial efficiency, market efficiency, and sustainability in terms of company profile. In addition to the favourable impacts, several recent cases have shown that unwanted and undesired consequences may develop in the absence of effective management procedures. These effects hurt the reputation of the businesses concerned and, in certain cases, resulted in huge fines and financial losses. Such findings increase the responsibility of AI enterprises to incorporate solutions that reduce the bias in data and algorithms at every stage of implementation. Conclusions. The role of artificial intelligence in the corporate environment in value creation and operational efficiency is extending. AI technologies can be used by companies to increase automation of corporate processes without direct interaction with customers, including applications that mean the use of AI in customer-facing services and products. Learning about the means by which AI might be employed will assist businesses in generating rational choices regarding the strength of implementing technologies in the supply chain. Assessing the possible implications of AI acceptance of artificial intelligence may enable firms to plan more successfully on a technology’s launch.

Objective: This study aims to investigate the consequences and boundaries of technological innovation's influence on financial literacy in the context of the COVID-19 pandemic. Theoretical Framework: The research investigates the nature of financial literacy and digital financial literacy and its relation to sustainability. Additionally, interrelations between digital financial literacy and Artificial Intelligence and the way COVID promotes digital financial literacy improvement are presented. Method: The research methodology is based on content analysis, comparative analysis and impact analysis. The data collection was carried out through a survey. The survey was carried out using the method of the respondents and the selection included all voluntary respondents. The survey was conducted in an online environment using Google Workspace tools, in particular Google Forms, and was self-administered by the authors. Results and Discussion: The results revealed a positive attitude of users towards digital technologies in the conditions of a pandemic crisis and this inevitably leads to an increase in financial literacy. These results highlight the role of digital financial literacy and technology in achieving better financial behaviour and resilience during the pandemic. They also show the limitations of their effectiveness in certain aspects, such as the formation of financial attitudes. Research Implications: The operational and conceptual consequences of the study are examined, presenting perspectives on how outcomes might be implemented or influenced by methods employed in financial literacy development. These ramifications could include AI adoption, digital culture improvement, and so forth. Originality/Value: This study contributes to the literature by examining the relationship between financial literacy and artificial intelligence in the context of the COVID-19 epidemic. The fast adoption of artificial intelligence and the necessity for increased financial literacy demonstrate the relevance and significance of this research.

In the contemporary landscape marked by the pervasive influence of artificial intelligence (AI), technological innovations continue to reshape conventional practices across various domains. Within the realm of human resources management, the intricate process of decision-making has long posed challenges in terms of analytical elucidation. However, the advent of AI technologies has ushered in a new era, offering unprecedented opportunities to augment and refine HR administration practices. This paper delves into the transformative potential of AI applications within human resources management, shedding light on how diverse AI modalities, including narrow and general AI, are revolutionizing traditional approaches. Through a comprehensive review of literature sourced from esteemed databases such as Scopus and Google Scholar, this study identifies key advancements poised to drive future research endeavors. Beyond the realm of recruitment, AI presents a myriad of possibilities spanning talent acquisition, employee training and development, performance assessment, compensation management, engagement initiatives, and even employee well-being programs. The synergy between human capabilities and AI integration emerges as a cornerstone for achieving enhanced outcomes, often serving as a determinant for competitive advantage within organizations while also impacting broader societal dynamics.