THE IMPACT OF ARTIFICIAL INTELLIGENCE ON ENTERPRISE INCOME DISTRIBUTION 

In the era of artificial intelligence, a new form of economy has appeared. Accordingly, it is necessary to adapt to the new era of technical skills, compound and innovative talents. As an important position for training technical talents, higher vocational colleges show new characteristics in the era of artificial intelligence and need to innovate the training mode of talents. Based on this, the article will analyze the difference between higher vocational education and undergraduate vocational education, and focus on the analysis of the innovative path and strategy of higher vocational education to train talents in the era of artificial intelligence, to cultivate innovative skilled talents who adapt to the era of artificial intelligence and meet the needs of the development of society and the era [1].

Preface Malcolm Sawyer. The Global Economic Crisis: An Introduction Emiliano Brancaccio and Giuseppe Fontana Part 1: Economic Theory 1. On the Supposed Completeness of the Mainstream Theories of Crisis Emiliano Brancaccio 2. Economy and Economics: The Twin Crises Alessandro Vercelli 3. The Great Recession and the Third Crisis in Economic Theory Riccardo Bellofiore and Joseph Halevi 4. As If Nothing Were Going to Happen: A Search in Vain for Warnings about the Current Crisis in Economic Journals with the Highest Impact Factors Andrea Imperia and Vincenzo Maffeo Part 2: Labour, Distribution and Profit Trends 5. Changes in Income Distribution, Financial Disorder and Crisis Aldo Barba and Massimo Pivetti 6. Income Distribution and Borrowing: Tracking the U.S. Economy with a New Cambridge Model Gennaro Zezza 7. Changes in Functional Income Distribution in Italy and Europe Antonella Stirati 8. Low Wages, Consumer Credit and the Crisis: A Monetary Theory of Production Approach Guglielmo Forges Davanzati and Riccardo Realfonzo 9. Back to the Future? The Tendency of the (Maximum) Rate of Profit to Fall: Empirical Evidence and Theory Stefano Perri Part 3: International Economic Relations 10. The International Circuit of Key Currencies and the Global Crisis: Is There Scope for Reform? Lilia Costabile 11. Globalisation and the Great Crisis Ernesto Screpanti 12. The Global Crisis in Low- and Middle-Income Countries: How the IMF Responded Andrea F. Presbitero and Alberto Zazzaro 13. Notes on Europe, German Mercantilism and the Current Crisis Sergio Cesaratto Part 4: Economic Policy 14. Privatization, Reproduction and Crisis: The Case of Utilities Bruno Bosco 15. Property Rights in the Knowledge Economy: An Explanation of the Crisis Ugo Pagano and Maria Alessandra Rossi 16. Employment and Income Distribution from a Classical-Keynesian Point of View: Some Tools to Ground a Normative Analysis Enrico Bellino

The systematic transformation in Poland began with enormous expectations of the people concerning results of the re-establishment of the market economy and economic freedom. Four and a half years after the start of reform, overwhelming popular disillusionment and frustrations have caused the spectacular comeback of the post-Communists. Some of the frustrations have been rooted in the radical changes in income distribution and the growth of poverty. An even more important factor than changes in wages and other income distribution has been changes in the relative position of different professions, sectors of economic activity, and industries and regions.

Scholars have increasingly drawn attention to rising levels of income inequality in the United States. However, prior studies have provided an incomplete account of how changes to specific transfer programs have contributed to changes in income growth across the distribution. Our study decomposes the direct effects of tax and transfer programs on changes in the household income distribution from 1967 to 2015. We show that despite a rising Gini coefficient, lower-tail inequality (the ratio of the 50th to 10th percentile) declined in the United States during this period due to the rise of in-kind and tax-based transfers. Food assistance and refundable tax credits account for nearly all the income growth between 1967 and 2015 at the 5th percentile and roughly one-half the growth at the 10th percentile. Moreover, income gains near the bottom of the distribution are concentrated among households with children. Changes in the income distribution were far less progressive among households without children.

The concept of privacy has broad ramifications, and it is implemented in a number of disciplines, ranging from philosophy to computer science, political science and legal science. This paper covers the impact of artificial intelligence on privacy protection, especially in the finance sector. Privacy protection is associated with control over information about personal data, also known as private information. This research is a normative legal research of analytical nature, and it is conducted by studying and interpreting theoretical matters relating to the principles, conceptions, doctrines and legal norms pertaining to the problems. The results of this research show that the concept of privacy in the era of artificial intelligence in Indonesia is best achieved by combining comprehensive rules with self-regulation to serve as a balancing agent between laws and technology in order to control and fulfill the protection of personal data in the era of artificial intelligence.

Artificial intelligence is an important feature and development trend of today's era, which has had a profound impact and challenge on various industries, including libraries as important institutions of knowledge service. The application of artificial intelligence technology provides new opportunities and possibilities for libraries, and also puts forward new requirements and expectations for the professional competence of librarians. Starting from the challenges and opportunities faced by librarians in the era of artificial intelligence, this article analyzes the connotation and composition of the professional competence of librarians, explores the goals, contents and approaches of professional competence construction for librarians in the era of artificial intelligence, and aims to provide references for improving the professional quality and service level of librarians and promoting the innovative development of library services.

The era of artificial intelligence has brought opportunities and challenges to liberal arts education. In terms of opportunities, personalized learning becomes possible, the application of intelligent educational tools to improve the teaching effect, the rich diversity of teaching resources to promote the diversification of teaching content, and the innovation of teaching mode to stimulate the innovation of education methods. However, liberal arts education also faces many challenges in the era of artificial intelligence. Data privacy and security concerns threaten the rights of students and teachers, the role of teachers needs to be redefined to meet the challenges of technological development, and algorithmic bias and discrimination can affect the equity and quality of education. Therefore, liberal arts education in the era of artificial intelligence needs to grasp the opportunities while seriously addressing the challenges, through strengthening data security protection, promoting teacher professional development, promoting the integration of technology and humanities and other measures to achieve sustainable development and progress of liberal arts education.

In the context of the era of intelligence, China is facing the dilemma of serious shortage of high-skilled talents, and the integration of BanMo Craftsmanship and vocational education is a new impetus to solve the current talent bottleneck. This paper focuses on the new era connotation of BanMo Craftsmanship and its core value in the context of artificial intelligence, analyses the new trend of application of BanMo Craftsmanship in the era of artificial intelligence, and explores the integration path of BanMo Craftsmanship and vocational education in the era of artificial intelligence.

The aim of this article is to analyze the implementation of artificial intelligence in corporate accounting, particularly the process of preparing financial statements, and its impact on changes in auditing procedures. AI is a key component of the modern business environment, aimed at minimizing the influence of human factors and automating routine tasks that require accuracy and consistency. However, there are currently risks, including the «black box» risk, which involves a set of data and decisions that form the basis of the final response to the user, the risk of using low-quality data, and the risk of bias. There are also legislative requirements for the ethical use of artificial intelligence in various areas of human activity. The primary document regulating these rules is the AI Act, developed by the government of the European Union. The article explores the implementation of artificial intelligence in enterprise accounting, which can cover all operational processes leading to the final data in financial reporting. It is found that AI can significantly enhance the accuracy of financial reporting by minimizing the impact of human factors and providing room for specialists to focus on strategic tasks. A potential approach from enterprise management regarding AI monitoring to prevent potential risks and ensure compliance with legislation is presented, along with an approach to developing new audit procedures to evaluate the effectiveness and accuracy of AI in preparing financial statements and testing the reliability of the data utilized by this tool. Further research could focus on examining how enterprises adapt to changes in AI-related legislation, the development and emergence of new trends in AI usage and internal controls within organizations, as well as the development of standardized AI auditing practices in companies with the involvement of certified auditors.

DeepSeek is reshaping the higher education model in all aspects by assisting differentiated teaching and personalized learning, promoting flat teaching management processes, creating interactive learning modes with deep participation, creating intelligent paths for boundaryless learning, providing accurate and comprehensive data-driven feedback, and enhancing global education equity and inclusiveness. For better applying artificial intelligence to promote the development of higher education, this study summarizes the main scenarios in which DeepSeek R1 contributes to the sustainable development of higher education. The development strategy of higher education in the era of intelligence is obtained, which includes improving teacher literacy we should continue to promote the healthy and innovative development of education models, actively deepen artificial intelligence to assist in the construction of teacher teams, enhance the interpretability of education models, improve the precision support of personalized learning, real-time detect and regulate student emotions, construct a scientific evaluation system for large models, bridge the global education digital divide, establish an ethical and moral framework for artificial intelligence, strengthen the cross-cultural adaptability of intelligent collaboration, and help lifelong learning and sustainable social development.

A procedure is developed to estimate nutritional and food demand implications of changing consumer income distribution. Findings from an empirical application to the population of Cali, Colombia, suggest that changes in income distribution can effectively improve human nutrition, even in the absence of food supply expansions. These same changes also have a large impact on the demand for individual food commodities. In societies where significant changes occur in income distribution, commodity demand projections preferably should be based on individual stratum rather than on average estimates of price and income elasticities.

The advent of the artificial intelligence (AI) era presents significant challenges to traditional education, necessitating innovative approaches to teaching methods. Integrating artificial intelligence into classroom instruction to enhance course quality has become a pressing concern. This study explores the design of macroeconomics courses in the context of artificial intelligence, addressing the limitations of traditional teaching methods and highlighting the potential benefits of AI integration. These advantages include personalized learning experiences, increased teaching efficiency, enhanced interactivity, real-time feedback, and access to expanded teaching resources. Building on these insights, the research proposes a comprehensive framework for innovating macroeconomics courses design. First, it emphasizes content innovation, which involves integrating AI-related economic phenomena and frontier developments in the discipline. Second, it focuses on methodological innovation, leveraging AI-powered tools to facilitate teaching and incorporating practical, hands-on learning experiences. Finally, it advocates for assessment reform, emphasizing process-oriented evaluations and introducing diverse, multi-dimensional assessment methods. These innovative strategies are shown to enhance the quality of macroeconomics education, improve student learning outcomes, and better align educational programs with the demands of a rapidly evolving economy in the AI era.

The artificial intelligence (AI) era has posed a great challenge to the cultivation of labour values in schools and universities, while labour values, whose theoretical logic originates from the dialectical unity relationship between the subject and object of labour, are the core in labour education. Labour values are embodied by labour subjectivity and developed by labour practicality. The research takes the bidirectional relationship between AI and labour education as the theoretical perspective to locate three major problems confronted by labour education: (1) educational administration in schools and universities; (2) separation between technique and morality; (3) binary opposition between mental and manual labour. In this case, labour education in schools and universities should adhere to the proper value orientation of labour education, promote the inter-coordination between labour skills and labour values, and pursue a system that integrates the five education dimensions—morality, intelligence, physique, aesthetics, and labour.

This literature review aims to identify the impact of innovative entrepreneurship on welfare and employment in the era of automation and artificial intelligence. Through an examination of various previous empirical and theoretical studies, rapid technological developments through automation and artificial intelligence have brought about major transformations in global entrepreneurship patterns, such as accelerating efficiency and new innovation opportunities for entrepreneurs. However, there are challenges in the form of a digital skills gap and the potential for a reduction in human-based jobs, requiring entrepreneurs to develop entrepreneurship strategies that are oriented towards human empowerment while remaining relevant in the era of automation and artificial intelligence. The results of this review confirm that entrepreneurial success in this era is not only measured by economic growth, but also by its ability to maintain a balance between technological innovation and social welfare. This study is expected to serve as the basis for the development of conceptual models and further research directions related to sustainable entrepreneurship and human welfare in the era of automation and artificial intelligence.

Purpose: The article's primary goal is to analyze artificial intelligence's (AI) development in the educational system. Design/methodology/approach: In the article, deep analysis of the consequences of technological progress For process teaching, identifying challenges and opportunities related to dynamic AI development. Underlined the necessity of facing changes in education appearances the AI and valuable looking at the implications for ways driving lessons, content teaching, and self-education. Findings: AI is a new way of solving problems, especially during crises. The new technologies determine the way and the speed of problem-solving. The new era of education requires modern methods concerning AI. Research limitations/implications: The surveys discussed in this article may contribute to further empirical studies, including but not limited to initiating works to improve innovation in artificial intelligence. Practical implications: Education in the age of AI demands a holistic approach, connecting modern technologies with traditional teaching methods and considering the ethical and social aspects of technological development. Originality/value: Originality work is about a consistent approach based on research literature, which can be a basis for further empirical research regarding the impact of AI on education and modification of learning methods. Keywords: educational technology, artificial intelligence, future education, education 4.0. Category of the paper: General overview, Research paper.