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Permanent URI for this collectionhttps://rses.ince.md/handle/123456789/1827

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    AI and the reduction of social inequalities in a linguistic perspective
    (INCE, ASEM, 2024) Santorelli, Marion; Catullo, Domenico; Palladino, Marilena
    Artificial intelligence (AI) has the potential to both exacerbate and alleviate social inequalities. In this paper, we investigate AI’s impact from a linguistic perspective, focusing on economic disparities, resource allocation, and ethical considerations. Actuality: We examine the current state of AI adoption and its implications for social equity. Recent developments, trends, and challenges related to AI’s influence on linguistic and social disparities are highlighted. Purpose: Our research aims to investigate how AI can contribute to reducing inequalities. Specifically, we consider linguistic aspects, such as language bias in AI algorithms, alongside broader societal implications. Research Methods:Our methodology involves a comprehensive literature review. We analyse existing studies, case examples, and empirical evidence related to AI’s impact on social inequalities. Results: Preliminary findings suggest that responsible AI design can bridge gaps and dismantle biases. By prioritizing fairness, transparency, and ethical development, we can harness AI’s power to create a more equitable society across linguistic boundaries.In summary, this paper advocates for vigilance and empathy in embracing transformative AI technologies to address social disparities.
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    Sporirea competitivității în sectorul agricol prin tehnologie: de la tradiții spre Agricultura 4.0
    (INCE, ASEM, 2024) Cojocaru, Adrian
    The growth of the population on Earth, increasing demand for affordable food, rising costs of production factors, labour shortage in farming; all these lead to huge transformations in the agricultural sector. Artificial intelligence is increasingly applied in precision agriculture and the robotization of farming process. Similarly, block-chain technologies contribute towards increasing the efficiency of agribusiness management and ensuring the products traceability. The purpose of this research is to identify the main trends at the global level in the field of technologies that have a decisive impact on increasing agricultural productivity and competitiveness, as well as to understand how much the Republic of Moldova is integrated in these trends. The research methodology was focused on the analysis of the works regarding the impact of technologies on agricultural competitiveness, indepth interviews with agricultural producers and technology suppliers from the Republic of Moldova, as well as the study of online sources showing how the respective technologies are implemented. Although the Republic of Moldova is not among the pioneers in terms of the development of intelligent solutions for agriculture, there are solid premises in the country for an accelerated transition to Agriculture 4.0.
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    The transformative role of linguistic AI in shaping business models
    (INCE, ASEM, 2024) Catullo, Domenico; Santorelli, Marion
    In the ever-evolving business landscape, the convergence of linguistic aspects and artificial intelligence (AI) is reshaping traditional models. Rather than merely automating existing processes, the true potential lies in leveraging AI to create novel goods, services, and experiences. Actuality: We explore the current impact of linguistic AI on business models. Recent developments and trends highlight the transformative role of AI in reshaping traditional approaches. Purpose: Our research aims to investigate how linguistic AI drives innovation. By combining linguistic insights with AI, we unlock new possibilities for customer interactions and revenue streams. Research Methods: Our methodology involves analysing empirical studies, case examples, and industry reports. We examine the effects of linguistic AI on productivity, revenue, and market expansion. Results: Preliminary findings suggest that linguistic AI enhances customer engagement and opens doors to unexplored business opportunities. Responsible deployment requires ethical considerations and a commitment to inclusive growth. In conclusion, linguistic AI transforms business models, positioning language as a strategic asset where innovation thrives at the intersection of human ingenuity and machine intelligence.
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    The role of innovative technologies in the modernization of the customs service
    (INCE, 2024) Gutium, Mircea
    Improving trade facilitation, enhancing security, and promoting economic efficiency in a rapidly globalizing world have all made the modernization of the customs service a crucial priority. This article examines how innovative technologies are crucial in revolutionizing customs operations, emphasizing the incorporation of advanced digital systems, artificial intelligence (AI), blockchain, and big data analytics. The research analyses how these technologies improve customs procedures, cut processing times, strengthen risk management, and guarantee compliance with international trade regulations. The implementation of these new ideas also enhances customs agencies' capacity to fight against illegal trade and safeguard national security. In addition, the article addresses issues like the digital gap, cyber threats, and the necessity of international collaboration in adopting technology-centered customs improvements. By examining specific examples and reviewing new developments, this paper highlights the importance of innovative technologies in not just improving operational efficiency but also transforming the future of international trade and customs management.
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    Human mobility and language: towards new multilingual approaches with ai
    (INCE, 2023) Santorelli, Marion; Catullo, Domenico
    This study investigates the relationships between language and human mobility in terms of investment, accessibility and inclusion and how human-computer interactions, AI (Artificial Intelligence) speech translators might overcome language barrier in a multilingual perspective. After a brief analysis of population dynamics, demographic change and migration based on European Union publications, the aim of this paper is to highlight the strong nexus between language and mobility and how it plays a key role in citizenship, educational policies, employment and social services. The phenomenon of linguistic identity, together with the power relations of ELF (English as Lingua Franca), is observed by presenting poststructuralist perspectives on SLA (Second Language Acquisition). It emerges that the power relations can be equal and unequal and can influence both positively and negatively users’ identities, shape people interactions and, thus, place them in particular communities or statuses. This ‘communicative imperialism’ can be inferred by the English Proficiency Index that places European countries in a high position, while countries in Eastern Europe, the Middle East, Africa, Latin America, and some Asian countries in the lowest ones. Non-native speakers have differing levels of command of the language, meaning that, for them, crucial details and nuances, as well as cultural references, might often be lost. This study explores the real-time multilingual interpretation, with the new emerging technologies, as a means to reduce language discrimination, information loss, and increase the return on investment (ROI), enabling everyone to join in a conversation in their own language from anywhere around the world.
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    The impact of artificial intelligence on strategic finance management success
    (INCE, 2023) Özen, Ercan; Atasever, Mesut
    Purpose: The main aim of this article is to examine the impact and importance of artificial intelligence on strategic finance management and to provide a perspective on how businesses can use it in their financial decision-making processes. Today, businesses tend to adopt a more data-oriented and rational approach in their financial decisions in order to maintain their competitive advantage and ensure sustainable growth in rapidly changing market conditions. Artificial intelligence has had a great impact in the finance industry and has helped financial managers make more effective and accurate decisions in strategic finance management. Strategic finance management aims to achieve long-term goals by using the resources of companies effectively. The integration of artificial intelligence into financial decision-making processes improves thestrategic planning and risk management processes of financial managers by providing faster and more accurate data analytics. Research methods: This articlewill be a compilation of important sources and research in the literature, and the impact and applications of artificial intelligence in the field of strategic finance management will be emphasized. In addition, its effects on the performance and competitiveness of companies will be examined and the advantages and challenges of artificial intelligence in financial decision-making processes will be discussed. Results: The use of artificial intelligence in the field of financial management is increasing day by day. The contribution of this technology to the strategic financial management of enterprises is supported by the growth and success stories observed in many sectors. The ability of artificial intelligence to analyze and forecast financial data has allowed the acceleration of financial decision-making processes and the adoption of more data-driven strategies. For this reason, experts and researchers in the financial sector are interested in understanding the impact of artificial intelligence on strategic finance management success and determining its future potential.