Artificial Intelligence in Socio-Economic Systems Novel Human-Centric Solutions .pdf
大小:(4.17 MB)

只需: RMB 19元  马上下载

内容特别新，2026最新上线资料，能够为论文和科研项目申请提供很多最新Idea！
内容特别丰富，一共500多页。
这份资料名为《社会经济系统中的人工智能：新颖的以人为本解决方案与应用》指出人工智能对社会经济体系兼具正反双重作用，现有 AI 研究多偏重工程技术，人文社科视角的研究零散不成体系，相关伦理边界、落地方案尚不充分。资料采用经济学、法学、社会学等多学科交叉视角，弥补现有文献缺口，构建以人为本应用 AI 的理论、方法与实操建议。资料分为五大部分，依次探讨人在智能社会经济系统中的定位、经济领域人本方案、多行业落地策略、智慧区域建设方案，以及各国 AI 落地国际经验。面向 AI 领域学者、行业实务专家、企业与区域管理者，为智能体系人本化建设提供理论与实践参考。
Artificial Intelligence in Socio-Economic Systems Novel Human-Centric Solutions and Applications
Once thought to be a technology of the future, artificial intelligence (AI) has now become a symbol of the high-tech present in progressive nations worldwide. The rapid spread of smart technologies and AI-driven solutions is destabilizing contemporary socio-economic systems, exerting a contradictory impact on them. On the one hand, the implementation and expansion of AI make it possible to optimize high-performance economic processes and relieve people working in various industries from a portion of routine, harmful, and dangerous tasks through automation. On the other hand, AI challenges human intellect by displacing people from individual tasks and entire industries. Additionally, the widespread adoption of AI creates a technocratic social environment, which is not always comfortable for everyone. In this context, when studying AI, it is crucial to focus on the people who interact with it and manage activities within smart socio-economic systems. The issue lies in the fact that AI was initially viewed purely as a technical solution. Most research conducted and published on AI has focused on the field of engineering and technical sciences, primarily concentrating on the technical aspects of automation. Only recently has a clear understanding emerged within the scientific community that the spread of AI contributes to the formation and development of cyber-social systems. This has sparked a wave of fragmented research on the socio-humanitarian aspects of AI, which has not yet coalesced into a distinct field of study, as it remains sporadic, irregular, and disorganised. Nevertheless, several key socio-humanitarian aspects of AI applications have now become evident and deserve deeper scientific exploration. One of these aspects is the consideration of the individual’s interests and their position in smart socio-economic systems. Efforts to humanize these systems, though still few, have been relatively successful. These efforts have given rise to a unique culture of socially oriented AI applications and their ethics. This aspect of automation also encompasses the psychological tension caused in individuals by these changes. Typical examples of this are workers who lose their jobs due to automation, as well as consumers who must continually update their digital knowledge and skills to avoid becoming outsiders in the AI-driven economy. However, the accumulated scientific knowledge is insufficient for a comprehensive definition of the ethical boundaries of AI use; these boundaries remain vague and undefined. Another important socio-humanitarian aspect of the spread of AI is the development and implementation of human-centered solutions for its use in the economy. These solutions aim to reduce and overcome the digital divide, develop the digital competencies of workers to counteract job displacement, create user-friendly interfaces for smart technologies, and more. Such solutions are being actively developed in the existing academic literature. Nevertheless, they remain fragmented: scattered across numerous publications and applied to individual economic processes, which hinders the formation of a cohesive understanding of the prospects for humanizing cyber-social systems. Furthermore, many of the proposed solutions have not been sufficiently detailed, which limits their implementation and the potential benefits for society. Another socio-humanitarian aspect of the spread of AI is related to the selection of humanistic applied solutions for smart automation in various sectors of the AI-driven economy. Each industry requires a unique approach to the dissemination of AI that meets its current automation needs while addressing the interests of the people (workers and consumers) engaged in economic activities within that sector. The industry-specific solutions for human-centered AI applications are insufficient to address the needs of contemporary smart socio-economic systems fully. The significant socio-humanitarian aspects of AI proliferation include human-centered solutions for the development of smart territories—regions within countries, including urban and rural areas. To make these regions attractive for living, working, conducting business, and attracting investment, solutions for humane automation tailored to the specific characteristics of these regions are required. Currently, there is a sharp shortage of such solutions in the scientific literature. Another socio-humanitarian aspect of the spread of AI is the creation of national models of cyber-social systems that account for the specificities of humane automation in each country. Although some published works have addressed international experience in the implementation of AI in socio-economic systems, this experience remains insufficiently studied and largely unknown. This resource is dedicated to a comprehensive and in-depth exploration of the aforementioned socio-humanitarian aspects of AI’s spread, seeking to fill the identified gap in the literature regarding the insufficient treatment of these issues. This resource aims to develop a scientific concept, methodology, and a set of practical recommendations for the human-centered use of AI in socio-economic systems. The resource’s novelty lies in its multidisciplinary approach, which allows it to form a systemic understanding of human-centered AI applications from the perspectives of various social sciences, such as economics and management, law, sociology, philosophy, cultural studies, pedagogy, and psychology. The resource’s uniqueness is that it highlights the practical experience of humanizing cyber-social systems in developed and emerging smart economies, including dynamic countries such as Kyrgyzstan and Armenia, as well as other nations of the Eurasian Economic Union (EAEU) and The goal set for this resource determined the logical structure and sequence in which the materials from the latest scientific research on AI are presented. The resource is divided into five thematic parts. The first part is dedicated to the place and role of the individual in smart socio-economic systems, as well as the consideration of individual interests through the development of culture and the adherence to ethics in the application of AI. This part addresses the psychological issues of social adaptation to the AI-driven economy and clearly outlines the ethical boundaries of smart automation. The second part presents advanced human-centred solutions for utilising AI in the economy, focusing on enhancing labour productivity, safeguarding workers’ rights, developing digital competencies, and addressing competency gaps through higher education. It also covers the integration of elements of ethnic culture and AI ethics into automated marketing in cyber-social systems. The third part focuses on applied industry-specific solutions for human-centered AI use, particularly those proposed for industries in the smart economy, such as higher education, healthcare, finance and banking, telecommunications, manufacturing, and IT. A special chapter in this part is dedicated to supporting youth employment and unlocking talent in the AI economy for its humanization. The fourth part contains progressive human-centered solutions for the development of smart territories (regions). This part highlights unique meso-level cyber-social systems, such as post-industrial regions, regions specializing in smart industrial production, and regions with rapid high-tech growth and high global digital competitiveness in their economies. The resource concludes with the fifth part, which provides a detailed examination and broad discussion of international experience in the implementation of AI in socio-economic systems. Special attention is given to the dynamically developing AI economies, as well as the acceleration of innovation and the strengthening of technological sovereignty of states in the context of the digitalization of the global economy. The primary target audience of this resource consists of scholars studying AI. For them, the resource presents a socio-humanitarian view of the AI economy, along with a comprehensive scientific methodology for its humanization. The additional target audience includes practicing experts. Representatives of smart enterprises will find applied solutions for enhancing their corporate social responsibility in the resource, while leaders of smart regions will find guidance on integrating humanistic solutions into territorial marketing programs.