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

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Subject: search.filters.subject.multilingual interpretation

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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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    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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    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.