Sun’iy Intellekt va Raqamli Iqtisodiyot

mumkinki, raqamli jamiyatda oilaviy nizolarni barvaqt aniqlashda SI imkoniyatlaridan foydalanish jamiyatda ijtimoiy barqarorlikni ta’minlashning muhim omilidir. Bu texnologiyalar oilaviy inqirozlarning oldini olishda nafaqat monitoring vositasi, balki shaxsga yo‘naltirilgan virtual psixologik ko‘mak tizimi sifatida ijtimoiy sohaning ajralmas qismiga aylanishi muqarrar. Raqamli jamiyat taraqqiyoti oilaviy munosabatlarni barqarorlashtirishda sun’iy intellekt texnologiyalaridan foydalanish uchun keng imkoniyatlar ochib bermoqda. Tadqiqotlar shuni ko‘rsatadiki, sun’iy intellekt tizimlari oilaviy nizolarni shunchaki qayd etuvchi vosita emas, balki ularni yashirin bosqichda aniqlovchi va preventiv choralar ishlab chiquvchi intellektual mexanizm sifatida xizmat qiladi. Lingvistik tahlil va emotsional holatni skanerlash orqali oilaviy krizislarni barvaqt prognoz qilish, jamiyatda ajrimlar sonini kamaytirish va ijtimoiy sog‘lom muhitni qaror toptirishning samarali usulidir. Bu jarayonda texnologik yechimlarni ijtimoiy-gumanitar soha kadrlarining kasbiy mahorati bilan uyg‘unlashtirish o‘ta muhim ahamiyatga ega. Kelajakda sun’iy intellekt asosidagi psixologik qo‘llab-quvvatlash tizimlarini joriy etishda shaxsiy ma’lumotlar maxfiyligi va etik normalarga qat’iy rioya qilish asosiy mezon bo‘lib qolishi lozim. Shuningdek, kadrlar tayyorlash tizimida ham lingvistik, ham texnik bilimga ega bo‘lgan mutaxassislarni shakllantirish davr talabidir. O‘zbekiston Respublikasi Prezidenti huzuridagi Ijtimoiy himoya milliy agentligi va tegishli ilmiy markazlar tomonidan raqamli psixologiya vositalarining qo‘llab-quvvatlanishi, oilaviy muammolarni hal etishda innovatsion yondashuvlarning samaradorligini oshiradi. Yakuniy natijada, sun’iy intellektning ijtimoiy-psixologik imkoniyatlaridan oqilona foydalanish oila institutini raqamli asr tahdidlaridan himoya qilish va jamiyatning ma’naviy poydevorini mustahkamlashga xizmat qiladi. Foydalanilgan adabiyotlar: 1. Xaydarov Sh. Psixologik xizmat tizimini raqamlashtirish yo‘nalishlari // Psixologiya va ijtimoiy amaliyot jurnali. ‒ 2023. ‒ № 2. ‒ B. 45–52. 2. Karimova Z. Oila psixologiyasi: zamonaviy yondashuvlar. ‒ Toshkent: Fan va texnologiya, 2021. ‒ 212 b. 3. Mamatova M.Yu. Axborot texnologiyalaridan foydalanish asosida shaxsiy psixologik holatni tahlil qilish metodlari // O‘zbekiston pedagogik fanlari jurnali. ‒ 2022. — № 3. ‒ B. 60– 66. 4. OECD. AI and the Future of Skills: Understanding and Responding to the Impact of Artificial Intelligence on Learning and Work. ‒ Paris: OECD Publishing, 2021. ‒ 148 p. 5. Askarov R. Sun’iy intellekt va inson omili: ijtimoiy-psixologik tahlil. ‒ Toshkent: Innovatsiya, 2024. — 178 b. 6. World Health Organization (WHO). Digital Mental Health Interventions: Effective Implementation and Ethical Principles. — Geneva: WHO Press, 2022. ‒ 84 p. 7. Saidova M. Oilaviy psixologik muammolarni hal etishda raqamli texnologiyalarning o‘rni // Psixologik tadqiqotlar jurnali. ‒ 2023. ‒ № 4. ‒ B. 33–40. 8. European Commission. AI Ethics Guidelines Global Inventory: Joint Research Centre Report. ‒ Brussels: EU Publications Office, 2022. ‒ 110 p. 19

AI-ASSISTED TRANSLATION OF “TEMUR TUZUKLARI”: PRESERVING HISTORICAL TERMINOLOGY AND CULTURAL MEANING Abdullayev Shaxzod Fazliddin o‘g‘li PhD-researcher at UzSWLU abdullaev.sh.f@gmail.com; Abstract. This article explores the role of AI-assisted translation in rendering Timur's deeds (Temur Tuzuklari) into English, with a focus on preserving historical terminology and cultural meaning. The study compares AI-generated translations with post-edited scholarly versions and identifies frequent problems such as cultural neutralization, false equivalence, terminological inconsistency, and pragmatic loss. The findings show that AI tools provide fluent draft translations but require human post-editing to maintain historical authenticity and ideological tone. The article concludes that effective translation of Timur's deeds (Temur Tuzuklari) is possible only through a human-in-the-loop approach supported by AI technologies. Keywords: artificial intelligence; AI-assisted translation; Temur Tuzuklari; historical terminology; cultural meaning; realia; pragmatic adequacy; machine translation; post-editing; Uzbek-English translation. Аннотация. В статье рассматривается роль перевода с применением искусственного интеллекта при передаче произведения «Темур тузуклари» (Уложения Тимура) на английский язык с акцентом на сохранение исторической терминологии и культурного смысла. Исследование основано на сопоставлении переводов, выполненных AI-системами, с научно отредактированными вариантами. Выявлены типичные проблемы: нейтрализация реалий, ложная эквивалентность, терминологическая непоследовательность и утрата прагматического воздействия. Результаты показывают, что AI обеспечивает связный черновой перевод, однако требует обязательного постредактирования для сохранения исторической достоверности и идеологического тона текста. Сделан вывод, что адекватный перевод «Темур тузуклари» (Уложения Тимура) возможен только в модели «человек + AI». Ключевые слова: искусственный интеллект; AI-перевод; Темур тузуклари; историческая терминология; культурный смысл; реалии; прагматическая адекватность; машинный перевод; постредактирование; узбекско-английский перевод. Annotatsiya. Mazkur maqolada “Temur Tuzuklari” asarini ingliz tiliga tarjima qilishda sun’iy intellektga asoslangan tarjima vositalarining o‘rni tarixiy terminologiya va madaniy mazmunni saqlash nuqtayi nazaridan tahlil qilinadi. Tadqiqot AI tomonidan yaratilgan tarjimalarni ilmiy post-tahrir qilingan variantlar bilan qiyosiy o‘rganishga asoslanadi. Natijada realiyalarning neytrallashuvi, noto‘g‘ri ekvivalent tanlash, terminologik izchillikning buzilishi hamda pragmatik ta’sirning pasayishi kabi muammolar aniqlanadi. Xulosaga ko‘ra, AI tizimlari tez va ravon dastlabki tarjima beradi, biroq tarixiy aniqlik va ideologik ohangni saqlash uchun tarjimonning post-tahriri zarur. Shuning uchun “Temur Tuzuklari” tarjimasida eng samarali yondashuv “inson + AI” modelidir. Kalit so‘zlar: sun’iy intellekt; AI-yordamida tarjima; Temur Tuzuklari; tarixiy terminologiya; madaniy mazmun; realiyalar; pragmatik adekvatlik; mashina tarjimasi; posttahrir; o‘zbek-ingliz tarjimasi. Introduction. In recent years, artificial intelligence has become one of the most transformative forces in the field of translation studies. Machine translation systems based on neural networks, as well as large language models, have moved beyond simple lexical substitution and now demonstrate the ability to generate 20

fluent target-language texts. This development has caused a shift in translation practice, where AI is increasingly used not only for everyday communication but also for professional and academic translation tasks. However, the application of AI in translating historical documents remains a complex issue, as historical texts represent a unique linguistic and cultural layer of human civilization. Among the most valuable written monuments of Uzbek historical heritage is Timur's deeds (Temur Tuzuklari) (“The Codes of Timur”), attributed to Amir Temur (Tamerlane). The work reflects the political and military ideology of the Timurid state and provides insights into governance, discipline, statecraft, army organization, and ethical principles. The language of Timur's deeds (Temur Tuzuklari) is characterized by historically conditioned vocabulary, archaic expressions, and a large number of culturally specific terms that do not always have direct lexical equivalents in modern English. Therefore, translating this text requires not only linguistic proficiency but also the ability to reconstruct historical meanings and preserve cultural authenticity. The translation of such texts has traditionally been approached through classical theories of equivalence, adequacy, and functional compatibility. However, the rise of AI-based translation tools introduces new methodological questions. Can AI systems adequately translate historical realias? Do neural machine translation models preserve culturally marked terms such as yasoq, tuzuk, sipoh, amir, mingboshi, yuzboshi, or do they simplify them into generalized concepts? How does AI handle pragmatically loaded expressions and ideological structures that are embedded in the worldview of medieval Central Asian political culture? These questions are particularly important because historical texts are not merely informative documents; they are carriers of cultural memory and national identity. The main problem lies in the fact that AI translation systems are primarily trained on modern language corpora, which often lack sufficient historical data and culturally specific vocabulary. As a result, AI tends to normalize or neutralize archaic language and transform culturally unique concepts into modern equivalents, which can lead to semantic distortion. For instance, historical terms representing military hierarchy or administrative institutions may be rendered inaccurately, while metaphorical and ideological elements may lose their original pragmatic force. Such tendencies may cause the translated text to become stylistically fluent but historically unreliable. Despite these challenges, AI-assisted translation cannot be dismissed as ineffective. On the contrary, AI tools may play an important supporting role in the translation of historical documents. They can accelerate the translation process by generating preliminary drafts, offering synonymic variants, assisting in terminology consistency, and helping the translator compare different translation solutions. In this regard, AI is best viewed not as an independent translator but as a technological assistant within a broader scholarly translation framework. The translator remains responsible for post-editing, contextual interpretation, and ensuring that cultural meaning is preserved. This article aims to investigate the 21

potential of AI-assisted translation in rendering Timur's deeds (Temur Tuzuklari) into English, focusing specifically on the preservation of historical terminology and cultural meaning. The objectives of the study are: (1) to analyze the linguistic and cultural specificity of key terms in Timur's deeds (Temur Tuzuklari); (2) to examine how AI translation systems interpret and translate these units; (3) to identify the major translation risks related to semantic loss, cultural neutralization, and pragmatic distortion; and (4) to propose practical strategies for post-editing AIgenerated translations of historical texts. The research is based on a linguistic and translation-oriented analysis of selected lexical units and culturally marked expressions from Timur's deeds (Temur Tuzuklari). Comparative evaluation is used to assess AI-generated translations against scholarly translation principles. The article argues that AIassisted translation can contribute to productivity and technical support, but the preservation of historical worldview, ideological meaning, and national-cultural identity of Timur's deeds (Temur Tuzuklari) requires human expertise grounded in translation theory and historical knowledge. Ultimately, the relevance of this study is determined by the growing need to digitize and translate historical manuscripts and documents for international academic audiences. Making Timur's deeds (Temur Tuzuklari) accessible to global readers through English translation is not only a linguistic task but also a cultural mission. Therefore, exploring AI-assisted translation methods within the framework of historical and cultural preservation remains a timely and significant direction in contemporary translation studies. The translation of historical texts has long been considered one of the most complex and responsible areas of translation practice. Unlike contemporary texts, historical documents carry not only lexical meaning but also cultural memory, ideological discourse, political worldview, and the social hierarchy of the period in which they were created. Therefore, the translation of historical sources is closely linked with the preservation of cultural identity and the reconstruction of historical context. In translation studies, this issue is often discussed through the concepts of equivalence, adequacy, pragmatic compatibility, and cultural transference. The relevance of this problem becomes particularly evident when translating such works as Timur's deeds (Temur Tuzuklari), a unique historical-political monument associated with Amir Temur’s governance philosophy and statecraft principles. Scholars of translation theory have repeatedly emphasized that the translation of historical texts cannot be treated as a purely linguistic procedure. Eugene Nida’s concept of dynamic equivalence argues that translation should create a similar response in the target audience as the original text created in its source audience. However, in the case of historical documents, achieving such an effect is challenging because the target audience is separated from the original context by time, ideology, and cultural distance. For this reason, literal equivalence is often insufficient, while excessive adaptation may lead to distortion. Peter Newmark’s theory of translation procedures offers useful strategies for dealing with culture-bound units, including transference, descriptive equivalence, and 22

functional equivalence. These procedures are particularly applicable to historical realias and administrative terms in Timur's deeds (Temur Tuzuklari), such as tuzuk, yasoq, divon, ulus, and sipoh, which have no direct lexical equivalents in English. Functionalist translation theories also provide an important methodological foundation for the translation of historical documents. Katharina Reiss’s text typology and Hans Vermeer’s Skopos theory emphasize that translation strategies should be determined by the communicative purpose of the target text. In academic and scholarly translation, where the primary aim is historical preservation and cultural representation, the translator must prioritize adequacy and accuracy rather than stylistic domestication. Christiane Nord’s concept of loyalty further strengthens this position, suggesting that translators must remain loyal to both the source text and the expectations of the target readership. In the case of Timur's deeds (Temur Tuzuklari), this means that the translator must preserve the ideological and terminological structure of the Timurid worldview, while at the same time making the text comprehensible for an English-speaking audience through explanatory additions, footnotes, or glossary support. The Russian and Soviet school of translation studies has also contributed significantly to the understanding of historical realias. V.N. Komissarov describes realias as culturespecific lexical units that reflect historical and national uniqueness and often lack direct equivalents in other languages. A.D. Shveitser emphasizes the concept of cultural markedness, arguing that translation should not erase the cultural uniqueness of the original but rather preserve it through appropriate translation techniques. These theoretical principles are particularly relevant for the translation of Timur's deeds (Temur Tuzuklari), as the text contains a large number of culturally embedded terms that represent not only linguistic meaning but also political institutions, military hierarchy, and ethical ideology. In modern translation discourse, the emergence of artificial intelligence has introduced new perspectives on translation practice. Neural machine translation systems have significantly improved fluency and grammatical accuracy, while large language models have demonstrated impressive abilities to generate coherent and contextually plausible translations. Nevertheless, research shows that AI systems remain limited when dealing with historically conditioned vocabulary, archaic structures, and culturally marked expressions. AI models are typically trained on large modern corpora, and therefore they often lack sufficient exposure to historical linguistic data. As a result, AI translation tends to normalize, simplify, and modernize historical discourse. This phenomenon can be explained through Lawrence Venuti’s concepts of domestication and foreignization. Domestication makes the translated text more readable for the target audience, but it may also erase cultural identity and historical authenticity. Foreignization, in contrast, preserves cultural difference but requires greater interpretive effort. In the translation of Timur's deeds (Temur Tuzuklari), foreignization becomes an essential strategy, because the text’s cultural and historical value depends on the preservation of its terminological system. 23

Mona Baker highlights that translation is deeply connected with ideology and power relations. Historical texts, especially political works like Timur's deeds (Temur Tuzuklari), are ideological documents reflecting the governing principles, state discipline, and authority discourse of the Timurid era. This makes the translation process even more sensitive, as ideological and pragmatic meaning can easily be weakened or distorted. AI systems often fail to reproduce such pragmatic force because they operate through probabilistic prediction rather than conscious interpretation. Consequently, AI translation may generate fluent output but lose the authoritative tone, the ethical imperatives, and the culturally embedded worldview of the original. At the same time, modern research in digital humanities demonstrates that AI can be highly useful in the preservation and accessibility of historical texts. AI tools assist scholars in digitization, optical character recognition, terminology extraction, corpus compilation, and semantic alignment. In translation practice, AI can support the translator by generating initial drafts, suggesting lexical variants, maintaining terminological consistency, and accelerating the translation workflow. However, researchers agree that AI-assisted translation should not be treated as a replacement for scholarly translation. Instead, it should be understood as a supportive tool within a human-controlled process. The human translator remains the key agent responsible for interpretation, contextualization, and cultural preservation. Based on these theoretical perspectives, the present study investigates AIassisted translation of Timur's deeds (Temur Tuzuklari) into English, focusing on the preservation of historical terminology and cultural meaning. The research is designed as a qualitative comparative analysis, in which selected lexical units and sentences from Timur's deeds (Temur Tuzuklari) are translated by AI systems and then compared with edited scholarly translations. The study concentrates on those linguistic elements that represent the cultural identity of the text: military ranks, administrative institutions, legal concepts, ethical vocabulary, and ideologically loaded expressions. The aim is to identify the most typical translation problems produced by AI and to determine effective post-editing strategies that can ensure terminological accuracy and pragmatic adequacy. The material of the study consists of culturally marked lexical units and short fragments from Timur's deeds (Temur Tuzuklari). The selection was based on frequency and conceptual importance. The dataset includes historical ranks such as mingboshi, yuzboshi, and onboshi; administrative terms such as divon and ulus; military vocabulary such as sipoh and lashkar; legal and normative terms such as tuzuk and yasoq; and ethical-ideological expressions reflecting discipline, justice, and governance. These units were chosen because they are central to the Timurid system of state administration and therefore represent the most culturally significant part of the text. The research procedure included several stages. First, culturally significant terms and sentences were extracted from the source text. Second, these units were translated using AI-based translation tools. Third, the AI 24

output was examined through comparative analysis and evaluated according to key criteria: terminological accuracy, cultural preservation, pragmatic adequacy, stylistic authenticity, and consistency. Fourth, a post-edited version was produced based on translation theory principles, applying foreignization strategies where necessary and using descriptive translation to clarify meaning. Finally, the observed translation errors were classified into categories such as semantic distortion, false equivalence, cultural neutralization, pragmatic weakening, and stylistic modernization. The results of the study demonstrate that AI translation systems provide grammatically correct and fluent drafts, especially in cases where sentences are structurally simple and contain universal concepts. For example, the sentence Men adolatni davlatning tayanchi deb bildim is often translated by AI as “I considered justice the foundation of the state.” This output is linguistically accurate and semantically correct. However, scholarly post-editing may refine the style to match the historical tone by using expressions such as “I regarded justice as the cornerstone of the state.” Here, AI produces an acceptable translation, but the human translator enhances stylistic authenticity. The most problematic aspect of AI translation is the handling of culture-bound historical terminology. AI systems frequently neutralize culturally significant terms by replacing them with general modern words. One of the central concepts in Temur Tuzuklari is tuzuk. AI often translates this term as “rule,” “law,” or “regulation.” Such equivalents may convey a partial meaning but fail to represent the full conceptual scope of the term. In the context of Amir Temur’s governance philosophy, tuzuk refers to a system of political, ethical, and administrative principles rather than a single regulation. Therefore, a more accurate translation strategy would be transliteration combined with explanation, such as “tuzuk (a code of governance and discipline).” This approach preserves the historical identity of the term while providing clarity to the target reader. Another important term is yasoq, which AI typically renders as “law.” Although this translation is not entirely wrong, it is semantically weak and historically inaccurate. Yasoq historically refers to a specific legal code or decree system connected with imperial authority and customary legal practice. Translating it simply as “law” removes its cultural specificity and makes it appear as a universal legal concept. A more appropriate translation would be “yasoq (imperial legal decree)” or “yasoq (customary legal code).” This demonstrates that AI struggles with terms that require historical interpretation and contextual explanation. Military ranks present an even more significant challenge. The Timurid military structure described in Timur's deeds (Temur Tuzuklari) includes ranks such as mingboshi, yuzboshi, and onboshi. AI systems often translate mingboshi literally as “commander of a thousand,” which may seem accurate, but it eliminates the institutional and cultural nature of the rank. Moreover, the same rank may appear in different forms in AI output, such as “leader of a thousand,” “thousand commander,” or “commander of one thousand soldiers,” creating terminological inconsistency. Scholarly translation requires stable terminology, therefore the recommended solution is “mingboshi (commander of a thousand 25

soldiers)” where the original title is preserved through transliteration and explained through descriptive equivalence. A particularly problematic example is the translation of yuzboshi. AI systems sometimes translate it as “centurion,” which is a serious cultural distortion. The term “centurion” belongs to Roman military tradition and carries associations unrelated to Central Asian history. This represents a typical case of false equivalence, where AI chooses an approximate concept from Western history that appears similar but is culturally incorrect. The proper strategy is to avoid culturally misleading analogies and instead use transliteration: “yuzboshi (commander of one hundred).” Similarly, the term onboshi is often translated by AI as “ten commander,” which is grammatically unnatural. In this case, post-editing is required to produce “onboshi (leader of ten soldiers).” These examples show that AI may provide a draft meaning, but the translator must ensure linguistic naturalness and historical authenticity. Administrative terms also suffer from semantic distortion. The term divon is frequently translated by AI as “court.” Although the word “court” may partially correspond to administrative functions, it does not fully represent the concept of divon as a council or state office responsible for governance and decision-making. A more accurate translation would be “the divan (state council)” or “the divan (administrative office).” The use of transliteration here is crucial because the term refers to a specific institution in Islamic and Central Asian political tradition. The term ulus is another example of cultural loss. AI often translates it as “nation” or “people.” However, in medieval Central Asian political context, ulus refers to a territorial-political unit or a tribal state domain. The translation “nation” introduces modern political ideology and may distort the historical meaning. A more accurate rendering would be “ulus (territorial-political domain)” or “ulus (tribal state unit).” This example illustrates that AI systems tend to modernize historical political concepts, which may lead to ideological misinterpretation. Military vocabulary such as sipoh and lashkar is also frequently neutralized. AI commonly translates sipoh as “army” and lashkar as “troops.” While these translations convey the general meaning, they erase the historical identity of the Timurid armed forces. A foreignization-oriented strategy would recommend “sipoh (Timurid armed forces)” and “lashkar (military troops).” Such translation not only preserves cultural identity but also maintains the historical atmosphere of the original. Another major weakness of AI translation is the reduction of pragmatic and ideological force. The discourse of Temur Tuzuklari is characterized by authority, discipline, and strict governance philosophy. AI systems often translate ideologically strong expressions into softened modern equivalents. For example, the sentence Men sipohni temir intizom bilan boshqardim is often translated as “I managed the army with strict discipline.” While grammatically correct, the phrase “strict discipline” weakens the metaphorical and ideological power of the original expression. A more adequate translation would be “I governed the sipoh with iron discipline,” which preserves the metaphorical strength and reflects the 26

authoritarian discourse. Similarly, Men har bir amirga o‘z vazifasini aniq belgilab berdim va unga itoatni shart qildim is translated by AI as “I clearly defined each emir’s duties and made obedience obligatory for him.” The translation conveys meaning but lacks the political severity embedded in the original. Post-editing can improve pragmatic adequacy by rendering the sentence as “I precisely defined the duties of every amir and demanded unquestioning obedience from him.” This edited version reflects the tone of absolute authority and discipline, which is central to the ideological style of the text. The study also reveals that AI translation often produces terminological inconsistency, especially when the same term appears repeatedly. For example, tuzuk may be translated as “rule” in one sentence and as “regulation” in another. Sipoh may be translated as “army” in one context and “soldiers” in another. Such inconsistency is unacceptable in scholarly translation because historical texts rely on stable terminological systems. Therefore, one of the key recommendations is to create a glossary of core terms and enforce consistent translation throughout the text. AI tools may assist in detecting inconsistency, but final decisions must be made by the translator. A deeper analysis of longer fragments confirms these findings. The sentence Yasoq va tuzuklarimga amal qilmagan kishiga jazo muqarrar bo‘ldi is translated by AI as “Punishment was inevitable for the person who did not follow my laws and rules.” This translation is fluent but culturally weak. It replaces yasoq and tuzuk with general modern words, destroying the historical system of governance terminology. A more accurate translation would be “Punishment was inevitable for anyone who violated my yasoq and tuzuk—my binding legal and administrative codes.” This version preserves the cultural terms through transliteration and provides explanatory clarification. Another example is the fragment Men lashkarni mingboshi, yuzboshi va onboshilarga bo‘lib, har biriga mas’uliyat yukladim. AI typically translates it as “I divided the army into commanders of thousands, hundreds and tens, and assigned responsibility to each.” While semantically understandable, it removes the institutional system of ranks. Post-editing improves historical authenticity by translating it as “I organized the lashkar into mingboshis, yuzboshis, and onboshis, assigning strict responsibility to each rank.” Here, the Timurid rank system is preserved, and the tone becomes more consistent with historical military discourse. Religious and ethical terms represent another sphere where AI produces reduction. For example, shariat is frequently translated as “law,” which is incomplete because sharia is not merely law but a complex system of Islamic moral, legal, and religious norms. Therefore, the term should be translated as “Sharia (Islamic legal and moral code).” Likewise, halollik is translated by AI as “honesty,” but in cultural context it often means broader moral integrity, righteousness, and ethical purity. In scholarly translation, a descriptive phrase such as “moral integrity and righteousness” may be more appropriate. Overall, the study demonstrates that AI-assisted translation tools are effective in producing fluent drafts and accelerating translation processes. However, their limitations become 27

evident in culturally marked areas of the text. The most frequent AI errors can be classified into several categories. The first category is cultural neutralization, where historically significant terms are replaced with general modern words, such as yasoq → law and tuzuk → rule. The second category is false equivalence, where AI selects culturally inappropriate analogies, such as yuzboshi → centurion. The third category is pragmatic weakening, where authoritative expressions lose their ideological force, such as “iron discipline” becoming “strict discipline.” The fourth category is stylistic modernization, where medieval political concepts are replaced with modern terms, such as ulus → nation or saltanat → kingdom. The fifth category is inconsistency, where the same historical term is translated differently in different contexts, reducing scholarly reliability. The findings confirm that AI translation cannot independently ensure adequate translation of Temur Tuzuklari because the text requires historical interpretation and cultural reconstruction. Nevertheless, AI can play an important supportive role in a human-controlled translation process. The most effective model is the human-in-the-loop strategy, where AI generates preliminary drafts and offers lexical suggestions, while the translator performs post-editing based on historical knowledge and translation theory principles. Post-editing must focus on preserving key terms through transliteration, applying descriptive equivalence for clarification, maintaining consistency through glossary formation, and restoring pragmatic and ideological tone. In conclusion, AI-assisted translation offers significant potential for improving productivity and technical support in the translation of historical texts such as Temur Tuzuklari. However, AI systems remain unable to preserve cultural identity and historical authenticity without human intervention. The translator remains the primary decision-maker responsible for ensuring terminological accuracy, ideological integrity, and pragmatic adequacy. Therefore, the translation of Temur Tuzuklari into English should be approached as a scholarly task where AI functions as an auxiliary instrument rather than an autonomous translator. Conclusion. The study has demonstrated that AI-assisted translation tools can significantly support the translation of historical texts such as Timur's deeds (Temur Tuzuklari) by providing fast draft versions, lexical suggestions, and basic structural coherence in English output. However, the comparative analysis confirms that AI systems frequently fail to preserve the historical and cultural specificity of the source text. The main weaknesses of AI-generated translation include cultural neutralization of realias, terminological inconsistency, false equivalence in rendering ranks and administrative titles, and pragmatic weakening of the authoritative discourse that characterizes Amir Temur’s governance ideology. Terms such as tuzuk, yasoq, divon, ulus, and military ranks like mingboshi or yuzboshi are often simplified into general modern equivalents, resulting in semantic loss and historical distortion. The results highlight that the translation of Timur's deeds (Temur Tuzuklari) requires not only linguistic transformation but also historical interpretation and cultural reconstruction. Therefore, AI translation should be applied within a 28

human-in-the-loop framework, where the translator remains responsible for postediting, contextual interpretation, and the preservation of ideological tone. The most effective strategy is the combination of transliteration, descriptive equivalence, consistent glossary formation, and scholarly commentary. Consequently, AI cannot replace professional historical translation, but it can function as a valuable auxiliary instrument when used critically and systematically. References: 1. Aliyeva, B. (2025). Stylistic peculiarities of human and machine translation. Til va adabiyot, (16), 86–92. 2. Baker, M. (2018). In other words: A coursebook on translation (3rd ed.). Routledge. 3. Barkhudarov, L. S. (1975). Yazyk i perevod (Voprosy obshchey i chastnoy teorii perevoda). Mezhdunarodnye otnosheniya. 4. Catford, J. C. (1965). A linguistic theory of translation: An essay in applied linguistics. Oxford University Press. 5. Chesterman, A. (2016). Memes of translation: The spread of ideas in translation theory (Revised ed.). John Benjamins. 6. House, J. (2015). Translation quality assessment: Past and present (2nd ed.). Routledge. 7. Hutchins, W. J., & Somers, H. L. (1992). An introduction to machine translation. Academic Press. 8. Jakobson, R. (1959). On linguistic aspects of translation. In R. A. Brower (Ed.), On translation (pp. 232–239). Harvard University Press. 9. Komissarov, V. N. (1990). Teoriya perevoda (Lingvisticheskie aspekty). Vysshaya shkola. 10. Koller, W. (2011). Einführung in die Übersetzungswissenschaft (8th ed.). UTB. 11. Munday, J. (2016). Introducing translation studies: Theories and applications (4th ed.). Routledge. 12. Nazirova, E., & Ismailov, A. S. (2025). The development of the NLP algorithms for Uzbek language. LAP Lambert Academic Publishing. 13. Newmark, P. (1988). A textbook of translation. Prentice Hall. 14. Nida, E. A. (1964). Toward a science of translating: With special reference to principles and procedures involved in Bible translating. Brill. 15. Nida, E. A., & Taber, C. R. (1969). The theory and practice of translation. Brill. 16. Nord, C. (1997). Translating as a purposeful activity: Functionalist approaches explained. St. Jerome Publishing. 17. O‘Hagan, M. (2019). The impact of artificial intelligence on translation. International Journal of Translation Studies, 1(1), 1–20. 18. Reiss, K. (2000). Translation criticism—The potentials and limitations (E. F. Rhodes, Trans.). St. Jerome Publishing. (Original work published 1971) 19. Shveitser, A. D. (1988). Teoriya perevoda: Status, problemy, aspekty. Nauka. 20. Toury, G. (2012). Descriptive translation studies—and beyond (Revised ed.). John Benjamins. 21. Venuti, L. (2017). The translator’s invisibility: A history of translation (3rd ed.). Routledge. 22. Vermeer, H. J. (1989). Skopos and commission in translational action. In A. Chesterman (Ed.), Readings in translation theory (pp. 173–187). Oy Finn Lectura Ab. 23. Vilar, D., Xu, J., D’Haro, L. F., & Ney, H. (2006). Error analysis of statistical machine translation output. In Proceedings of the 5th International Conference on Language Resources and Evaluation (LREC) (pp. 697–702). 29

24. Way, A. (2018). Quality expectations of machine translation. In J. Moorkens, S. Castilho, F. Gaspari, & S. Doherty (Eds.), Translation quality assessment: From principles to practice (pp. 159–178). Springer. 25. Wilss, W. (1996). Knowledge and skills in translator behavior. John Benjamins. 26. Wright, S. E., & Budin, G. (Eds.). (1997). Handbook of terminology management: Basic aspects of terminology management (Vol. 1). John Benjamins. YOSHLARDA INGLIZCHA VARVARIZMLARNING QO‘LLANISHINING PSIXOLINGVISTIK SABABLARI Abdullayeva Madinaxon Alisher qizi, FarDU 1-bosqich talabasi email: madina20abdullayeva07@gmail.com Annotatsiya. Ushbu maqolada zamonaviy yoshlar nutqida inglizcha varvarizmlarning keng qo‘llanilishi psixolingvistik yondashuv asosida tahlil qilinadi. Tadqiqotda til va tafakkur munosabati, bilingv ong shakllanishi, kognitiv jarayonlar hamda ijtimoiy-psixologik omillarning yoshlar nutqiga ta’siri o‘rganiladi. Inglizcha leksik birliklarning faol ishlatilishi globallashuv, raqamli kommunikatsiya va ommaviy madaniyat bilan uzviy bog‘liq ekani asoslab beriladi. Maqola natijalari yoshlar nutqida varvarizmlar qo‘llanishi til taraqqiyotining tabiiy bosqichi ekanini ko‘rsatadi. Kalit so‘zlar: varvarizm, psixolingvistika, yoshlar nutqi, bilingvizm, kognitiv jarayon Аннотация. В статье анализируются психолингвистические причины активного употребления английских варваризмов в речи современной молодежи. Рассматриваются процессы формирования билингвального сознания, когнитивные механизмы речепорождения, а также влияние социальной среды и глобализации. Доказывается, что использование английских заимствований является закономерным результатом языкового и психического развития молодежи. Ключевые слова: варваризмы, психолингвистика, молодежная речь, билингвизм, когнитивные процессы Abstract. This article explores the psycholinguistic reasons for the widespread use of English barbarisms in the speech of young people. The study focuses on the interaction between language and cognition, the formation of bilingual consciousness, and social and cultural influences. The findings indicate that the use of English lexical units in youth speech is a natural outcome of globalization and modern communication practices. Keywords: barbarisms, psycholinguistics, youth speech, bilingualism, cognition Kirish. XXI asrda til taraqqiyoti globallashuv jarayonlari, axborot texnologiyalarining jadal rivoji va madaniyatlararo aloqalarning kuchayishi bilan bevosita bog‘liq holda kechmoqda. Ushbu jarayonlar natijasida tillar o‘zaro faol ta’sirga kirishib, lug‘at tarkibida yangi birliklar paydo bo‘lmoqda. Ayniqsa, ingliz tilining xalqaro muloqot tili sifatida mustahkamlanishi ko‘plab milliy tillarda inglizcha varvarizmlarning faol qo‘llanishiga sabab bo‘lmoqda. Yoshlar til o‘zgarishlariga eng tez moslashuvchi ijtimoiy qatlam hisoblanadi. Ularning nutqida inglizcha so‘z va iboralarning ko‘plab ishlatilishi nafaqat lingvistik, balki psixolingvistik jihatdan ham chuqur tahlilni talab etadi. Psixolingvistika til birliklarining inson ongida idrok etilishi, qayta ishlanishi va nutqda namoyon bo‘lish jarayonlarini o‘rganadi. Shu nuqtayi nazardan, inglizcha varvarizmlarning yoshlar nutqida qo‘llanishi ularning tafakkuri, psixik rivoji va ijtimoiy muhit bilan 30

uzviy bog‘liqdir. Mazkur maqolaning maqsadi yoshlar nutqida inglizcha varvarizmlarning paydo bo‘lishi va qo‘llanishining psixolingvistik sabablarini ilmiy asosda yoritishdan iborat. Tadqiqot metodologiyasi. Tadqiqot jarayonida kompleks yondashuvdan foydalanildi. Yoshlar nutqidan olingan yozma va og‘zaki matnlar psixolingvistik va sotsiolingvistik tahlil asosida o‘rganildi. Kuzatish, tavsiflash, qiyosiy va tahliliy metodlar tadqiqotning asosiy usullari sifatida qo‘llanildi. Shuningdek, L.S. Vygotskiy, A.A. Leontev, F. Grosjean, D. Crystal kabi olimlarning psixolingvistika, bilingvizm va til taraqqiyotiga oid ilmiy qarashlari nazariy asos sifatida olindi. Tadqiqotda yoshlarning nutqiy faoliyatida inglizcha varvarizmlarning ishlatilish chastotasi va funksional xususiyatlari tahlil qilindi. Natijalar. Tadqiqot natijalari shuni ko‘rsatdiki, yoshlar nutqida inglizcha varvarizmlarning qo‘llanishi tasodifiy hodisa emas, balki psixolingvistik qonuniyatlarga asoslangan jarayondir. Nutqiy materiallar tahlili inglizcha birliklarning asosan norasmiy muloqotda, ijtimoiy tarmoqlar va kundalik suhbatlarda faol ishlatilishini ko‘rsatdi. Bu holat yoshlar ongida ingliz tiliga oid leksik birliklarning tez va oson faollashishini bildiradi. Inglizcha varvarizmlarning qo‘llanishi yoshlarning bilingv ongida til tizimlarining o‘zaro integratsiyalashuvi bilan izohlanadi. Kognitiv nuqtayi nazardan, inglizcha birliklar ayrim tushunchalarni aniq va ixcham ifodalash imkonini beradi. Natijada nutq jarayoni tezlashadi va psixik yuklama kamayadi. Shu bilan birga, varvarizmlar yoshlar nutqida zamonaviylik va ijtimoiy moslashuv belgisi sifatida namoyon bo‘ladi. Muhokama. Olingan natijalar psixolingvistika sohasidagi klassik va zamonaviy tadqiqotlar bilan uyg‘unlashadi. L.S. Vygotskiyning til va tafakkur o‘zaro bog‘liqligi haqidagi qarashlariga ko‘ra, til birliklari inson tafakkurining rivojlanishida muhim rol o‘ynaydi. Inglizcha varvarizmlarning yoshlar nutqida qo‘llanishi ularning tafakkuri global axborot makoniga moslashayotganini ko‘rsatadi. A.A. Leontev ta’kidlaganidek, nutqiy faoliyat ijtimoiy muhit bilan chambarchas bog‘liq. Yoshlar inglizcha birliklardan foydalanish orqali o‘zlarini muayyan ijtimoiy guruhga mansub ekanini namoyon qiladi. Shuningdek, ingliz tilining yuqori prestiji yoshlar ongida ushbu til birliklarining ijobiy baholanishiga olib keladi. Biroq varvarizmlarning haddan tashqari ko‘p qo‘llanishi milliy til me’yorlariga salbiy ta’sir ko‘rsatishi mumkin. Shu sababli, til taraqqiyotida muvozanatni saqlash masalasi dolzarb bo‘lib qolmoqda. Xulosa. Yoshlar nutqida inglizcha varvarizmlarning qo‘llanishi psixolingvistik jihatdan murakkab va ko‘p omilli jarayondir. Ushbu hodisa bilingv ong shakllanishi, kognitiv tejamkorlik, ijtimoiy identifikatsiya va globallashuv jarayonlari bilan bevosita bog‘liqdir. Inglizcha varvarizmlar yoshlar uchun kommunikativ qulaylik va o‘zini ifodalash vositasi bo‘lib xizmat qiladi. Mazkur tadqiqot natijalari yoshlar nutqini o‘rganishda psixolingvistik yondashuvning ahamiyatini ko‘rsatadi va kelgusida ushbu yo‘nalishda chuqurroq tadqiqotlar olib borish zarurligini tasdiqlaydi. 31

Foydalanilgan adabiyotlar: 1. Vygotskiy L.S. Tafakkur va nutq. ‒ M.: Pedagogika, 1982. 2. Leontev A.A. Psixolingvistika asoslari. — M.: Smysl, 2003. 3. Grosjean F. Bilingualism: A Short Introduction. ‒ Harvard University Press, 2010. 4. Crystal D. English as a Global Language. — Cambridge University Press, 2003. 5. Safarov Sh. Zamonaviy tilshunoslik masalalari. — T.: Fan, 2018. 6. Weinreich U. Languages in Contact. — New York: Mouton, 1953. SUN’IY INTELLEKT YORDAMIDA BOLALARDA MANTIQIY FIKRLASHNI RIVOJLANTIRISH P.f.f.d., PhD, dots Turdiyeva M.J., Abdurashidova Nilufar Abdumalik qizi, Renessans ta’lim universiteti, Pedagogika fakulteti, e-mail: nilufarabdurashidova0@gmail.com 23-23 MT guruh 3-kurs talabasi Annotatsiya. Maqolada sun’iy intellekt asosidagi ta’lim vositalarining bolalarda mantiqiy fikrlash va muammolarni hal etish ko‘nikmalarini shakllantirishdagi roli tahlil qilinadi. Sun’iy intellekt texnologiyalari pedagogik jarayonga integratsiya qilingan holda adaptiv o‘quv muhitini yaratadi. Kalit so‘zlar: sun’iy intellekt, ta’lim, mantiqiy fikrlash, adaptiv tizimlar, interaktiv platformalar, bolalar rivoji Аннотация. В статье анализируется роль образовательных средств на основе искусственного интеллекта в формировании у детей логического мышления и навыков решения проблем. Технологии искусственного интеллекта, интегрированные в педагогический процесс, создают адаптивную образовательную среду. Ключевые слова: искусственный интеллект, образование, логическое мышление, адаптивные системы, интерактивные платформы, развитие детей Annotation. The article analyzes the role of artificial intelligence–based educational tools in developing children’s logical thinking and problem-solving skills. Artificial intelligence technologies integrated into the pedagogical process create an adaptive learning environment. Keywords: artificial intelligence, education, logical thinking, adaptive systems, interactive platforms, child development Kirish. O‘zbekiston Respublikasi Prezidenti Sh. Mirziyoyevning 2024-yil 14- oktyabrdagi PQ-358-son ijtimoiy soha va iqtisodiyot tarmoqlarida sun’iy intellekt texnologiyalarini joriy qilish uchun qulay shart-sharoitlar yaratish, mamlakatimizning sun’iy intellekt texnologiyalaridan foydalanuvchi dunyoning yetakchi davlatlari qatoriga kirishiga erishish, shuningdek, «Raqamli O‘zbekiston ‒ 2030» strategiyasida belgilangan maqsad va vazifalar ijrosini ta’minlash maqsadida sun’iy intellekt texnologiyalarini 2030-yilga qadar rivojlantirish strategiyasi tasdiqlandi. Bugungi kun global texnologiyalar va raqamli innovatsiyalar asri hisoblanayotgan davrda bu qaror biz pedagoglar uchun ta’lim sohasida yangi imkoniyatlar yaratadi. Sh.M. Mirziyoyev Sun’iy intellekt asosidagi robototexnika platformalari bolalarning amaliy mashg‘ulotlar orqali o‘z bilim va malakasini rivojlantirish imkonini beradi. Masalan: Lego Mindstorms – bolalarga robotlar yaratish va ularni dasturlash orqali muammolarni hal qilishga o‘rgatadi, Cubetto va Bee-Bot – maktabgacha yoshdagi 32

bolalar uchun mo‘ljallangan dasturlash asosida ishlaydigan interaktiv robotlar hisoblanadi. Maktabgacha ta’limda sun’iy intellektning ahamiyatli jihati uning yordamida bolalar turli xil hikoyalar yozishga o‘rgatiladi. Masalan, ChatGPT yoki AI Story Generator bolalarga hikoya syujeti tuzishda yordam beradi va ularning ijodiy qobiliyatini oshiradi, Tilt Brush – bolalarga 3D muhitda ranglar bilan ishlash imkonini beradi, QuiverVision – bolalar o‘z qo‘llari bilan chizgan rasmlarni SI yordamida jonlantirib, ularga hayot baxsh eta oladilar. Maktabgacha ta’lim tashkiloti bola shaxsini sog‘lom va yetuk qilib maktab ta’limga tayyorlash maqsadini ko‘zlaydi. Ta’lim-tarbiya qancha erta boshlansa, uning samarasi shuncha erta namoyon bo‘ladi, shuningdek, insonning butun hayot tarziga ijobiy ta’sir qiladi. Maktabgacha ta’lim tashkiloti ta’lim muassasalariga bolalar qamrovini kengaytirish, muassasalarni obodonlashtirish, ularning kirishqismidan tortib, yo‘laklari, hattoki ekilgan gul, daraxtlari, guruh xonasidagi har bir jihoz bolanirivojlantirish uchun yo‘naltirilganiga alohida e’tibor qaratilmoqda. Bugungi tezkor davrda maktabgachayoshdagi bolalarni mustaqil fikrlash fikrini erkinifodalashga o‘rgatuvchi muhit yaratish, albatta, tashkilotning samarali boshqaruviga bevositaaloqador bo‘lib muomala qilish san’at kuch bilan hech qanday natijaga erishib bo‘lmaydigan hollardaham takt yordamida muvaffaqiyatga erishish mumkin. Tarbiyachi yosh avlodni xalqimizning munosib farzandlari qilib tarbiyalashdek muhim, faxrliva shu bilan birga mas’uliyatli vazifani bajaradi. Tarbiyachining siyosiy yetukligi bolalarnitarbiyalash sifati uchun xalq va jamiyat oldidagi o‘z mas’uliyatini anglashga, ta’lim-tarbiyavazifalarini hal etishga ijodiy yondashishga, o‘z mahoratini doimo takomillashtirib borish va o‘rtoqlarining o‘sishiga ko‘maklashishda yordam beradi. XXI asrda ta’lim tizimi raqamli texnologiyalar bilan chambarchas bog‘lanib bormoqda. Ayniqsa, sun’iy intellekt (SI) texnologiyalari ta’lim jarayoniga kirib kelishi bolalarning fikrlash qobiliyatini rivojlantirishda yangi imkoniyatlar yaratmoqda. Mantiqiy fikrlash bolalarning muammolarni hal etish, tahlil qilish va mustaqil qaror qabul qilish ko‘nikmalarini shakllantiruvchi muhim omildir. Shu sababli, SI vositalaridan foydalanish orqali bolalarda mantiqiy tafakkurni rivojlantirish dolzarb pedagogik masalalardan biri hisoblanadi. Sun’iy intellekt va ta’lim jarayoni. Sun’iy intellekt ‒ bu kompyuter tizimlarining inson fikrlashiga xos jarayonlarni, jumladan o‘rganish, tahlil qilish va qaror qabul qilishni amalga oshirish qobiliyatidir. Ta’limda SI adaptiv o‘quv platformalari, aqlli repetitor tizimlari va interaktiv o‘yinlar orqali qo‘llaniladi. Adaptiv o‘quv tizimlari har bir bolaning bilim darajasini aniqlab, unga mos topshiriqlarni taqdim etadi. Bu jarayon o‘quvchining mantiqiy fikrlashini bosqichma-bosqich rivojlantirishga yordam beradi. Masalan, matematik va mantiqiy o‘yinlar orqali bolalar sabab-oqibat bog‘lanishlarini tushunishni o‘rganadilar. Bolalarda mantiqiy fikrlashni rivojlantirishda SI ning ahamiyati shundaki, sun’iy intellekt yordamida yaratilgan ta’limiy dasturlar bolalarni faol fikrlashga undaydi. Interaktiv muhitda bola xatolaridan saboq chiqaradi va muammoni turli yo‘llar bilan hal qilishni o‘rganadi. Bu esa analitik va tanqidiy 33

fikrlashni kuchaytiradi. SI texnologiyalari individual yondashuvni ta’minlaydi. Har bir bolaning o‘zlashtirish tezligi turlicha bo‘lgani sababli, adaptiv tizimlar ularga mos o‘quv strategiyasini ishlab chiqadi. Natijada bolalar murakkab mantiqiy vazifalarni mustaqil bajarishga o‘rganadi. Bundan tashqari, sun’iy intellekt bolalarda ijodiy fikrlashni ham rivojlantiradi. Simulyatsiyalar va o‘yinli muhitlar orqali o‘quvchilar real hayotiy vaziyatlarni modellashtirib, qaror qabul qilish ko‘nikmalarini mustahkamlaydi. SI asosidagi ta’lim vositalari bir qator pedagogik ustunliklarga ega: individual ta’lim yo‘nalishini yaratadi; o‘quv jarayonini qiziqarli va interaktiv qiladi; o‘quvchilarning motivatsiyasini oshiradi; tezkor teskari aloqa (feedback) beradi; o‘qituvchiga o‘quvchi rivojlanishini monitoring qilish imkonini yaratadi. Shu bilan birga, SI dan foydalanishda pedagogik nazorat muhim ahamiyatga ega. Texnologiya o‘qituvchini to‘liq almashtirmaydi, balki yordamchi vosita sifatida xizmat qiladi. Sun’iy intellektdan foydalanishda ayrim muammolar ham mavjud. Masalan, bolalarning haddan tashqari ekran vaqtiga bog‘lanib qolishi, shaxsiy ma’lumotlar xavfsizligi va texnologiyalardan noto‘g‘ri foydalanish ehtimoli mavjud. Shuning uchun SI vositalaridan foydalanishda yoshga mos kontent tanlash, ota-onalar va o‘qituvchilar nazoratini kuchaytirish zarur. Texnologiya an’anaviy ta’lim metodlari bilan uyg‘unlashtirilgan holda qo‘llanilishi lozim. Amaliy tavsiyalar Boshlang‘ich ta’limda SI asosidagi mantiqiy o‘yinlardan foydalanishni kengaytirish. O‘qituvchilarni raqamli pedagogika va SI texnologiyalariga o‘qitish. O‘quv jarayonida an’anaviy va raqamli metodlarni uyg‘unlashtirish. Xulosa qilib aytganda, sun’iy intellekt texnologiyalari bolalarda mantiqiy fikrlashni rivojlantirishda samarali pedagogik vosita hisoblanadi. U interaktiv va adaptiv muhit yaratib, o‘quvchilarning analitik, tanqidiy va ijodiy fikrlashini kuchaytiradi. To‘g‘ri tashkil etilgan ta’lim jarayonida SI kelajak avlodning intellektual salohiyatini oshirishga xizmat qiladi. Foydalanilgan adabiyotlar: 1. Sabirova D.A. Raqamli ta’lim tizimida sun’iy intellektdan foydalanish. (Digital Transformation and Artificial Intelligence), 2024. (27-35b.) 34

2. Maftuna A., Mirjalol A. Sun’iy intellekt va uning ta’limdagi vazifalari. (Лучшие интеллектуальные исследования), 2025. (40-45b.) 3. Muyassar A. Ta’lim boshqaruvida sun’iy intellekt: imkoniyatlar, cheklovlar va kelajak yo‘nalishlari. (Advances in Science and Education), 2025. (17-24b.) 4. Sun’iy intellekt texnologiyalari orqali baholash tizimini takomillashtirish. Universal xalqaro ilmiy jurnal, 2025. (33-40b.) 5. Kabulova T. Sun’iy intellekt asosidagi ta’limiy platformalar: O‘zbekiston va xalqaro tajribada. International Conference, 2025. (50-54b.) SUN’IY INTELLEKT VA INNOVATSION YONDASHUV ASOSIDA KADRLAR TAYYORLASH Abdushukurova Nozimabonu Abdullo qizi, Mirzo Ulug‘bek nomidagi O ‘zMU o‘qituvchisi abdushukurova1997@mail.ru Annotatsiya. Ushbu maqolada sun’iy intellekt (SI) va innovatsion texnologiyalarni kadrlar tayyorlash tizimiga integratsiya qilishning strategik ahamiyati yoritilgan. Tadqiqotda adaptiv ta’lim modellari, VR/AR simulyatsiyalari va Big Data tahlillari asosida ta’lim jarayonini mehnat bozori talablariga moslashtirish masalalari tahlil qilinadi. Shuningdek, neyrointerfeyslar yordamida o‘quv samaradorligini oshirish va individual ta’lim traektoriyalarini shakllantirishning istiqbolli yo‘nalishlari bo‘yicha amaliy tavsiyalar berilgan. Kalit so‘zlar: Sun’iy intellekt, innovatsion yondashuv, kadrlar tayyorlash, adaptiv ta’lim, VR/AR simulyatsiyalar, Big Data, raqamli egizaklar, inson kapitali, mehnat bozori. Аннотация. В данной статье рассматривается стратегическое значение интеграции искусственного интеллекта (ИИ) и инновационных технологий в систему подготовки кадров. В исследовании анализируются вопросы адаптации образовательного процесса к требованиям рынка труда на основе адаптивных моделей обучения, симуляций VR/AR и анализа Big Data. Также даны практические рекомендации по перспективным направлениям повышения эффективности обучения с помощью нейроинтерфейсов и формирования индивидуальных образовательных траекторий. Ключевые слова: Искусственный интеллект, инновационный подход, подготовка кадров, адаптивное обучение, VR/AR симуляции, Big Data, цифровые двойники, человеческий капитал, рынок труда. Abstract. This article highlights the strategic importance of integrating artificial intelligence (AI) and innovative technologies into the personnel training system. The study analyzes the issues of adapting the educational process to labor market requirements based on adaptive learning models, VR/AR simulations, and Big Data analytics. Furthermore, practical recommendations are provided on promising areas for improving learning efficiency through neuro-interfaces and the formation of individual learning trajectories. Keywords: Artificial Intelligence, innovative approach, personnel training, adaptive learning, VR/AR simulations, Big Data, digital twins, human capital, labor market. Kirish. Bugungi jadal texnologik taraqqiyot davrida mehnat bozori kadrlardan nafaqat fundamental bilimlarni, balki yuqori darajadagi raqamli ko‘nikmalarni ham talab etmoqda. Sun’iy intellekt (SI) ta’lim tizimiga shunchaki yordamchi vosita emas, balki kadrlar tayyorlash sifatini tubdan o‘zgartiruvchi strategik drayver sifatida kirib keldi. Innovatsion yondashuvlar asosida kadrlarni tayyorlash bu ta’lim jarayonini real vaqt rejimida mehnat bozori talablariga moslashtirish demakdir.[1] 35

An’anaviy kadrlar tayyorlash tizimi ko‘pincha "hamma uchun bir xil" (onesize-fits-all) tamoyiliga tayanadi. Sun’iy intellekt esa adaptiv o‘qitish algoritmlari orqali har bir ta’lim oluvchining o‘zlashtirish tezligi, qiziqishlari va mavjud bilim darajasini real vaqtda tahlil qiladi. Innovatsiya: SI tizimi xodimning xatolarini skanerlab, unga aynan o‘sha bo‘shliqni to‘ldirish uchun maxsus materiallar (video, keys, test) taqdim etadi. Bu o‘qitish vaqtini 30-40% ga qisqartirib, samaradorlikni oshiradi. "Big Data" va mehnat bozori prognozi- Kadrlar tayyorlashdagi innovatsion yondashuv faqat bugungi kun bilan cheklanib qolmasligi kerak. Katta ma’lumotlar (Big Data) tahlili yordamida SI kelgusi 5-10 yil ichida qaysi ko‘nikmalarga (soft va hard skills) talab yuqori bo‘lishini bashorat qiladi. Universitetlar va o‘quv markazlari bozor talabidan orqada qolmaslik uchun o‘quv dasturlarini dinamik tarzda yangilab borish imkoniga ega bo‘ladi. [2] Virtual va kengaytirilgan borliq (VR/AR) simulyatsiyalari - Murakkab texnik sohalarda (tibbiyot, muhandislik, aviatsiya) kadrlar tayyorlashda SI bilan integratsiyalashgan virtual simulyatsiyalar beqiyosdir. • xatarlarsiz, virtual muhitda murakkab qurilmalarni boshqarishni o‘rganadi. SI esa ushbu jarayonda yo‘l qo‘yilgan har bir harakatni tahlil qilib, darhol teskari aloqa (feedback) beradi. Uzluksiz malaka oshirish (Lifelong Learning) kontseptsiyasi Innovatsion yondashuv kadrning faqat bir marta diplom olishi bilan tugamaydi. SI asosidagi "Agentic AI" yoki aqlli yordamchilar xodimning butun faoliyati davomida unga hamrohlik qiladi. Xodimning ish faoliyatidagi natijalari tahlil qilinadi va tizim unga avtomatik ravishda: "Sizga ushbu loyihani yaxshiroq bajarish uchun mana bu kursni o‘tash tavsiya etiladi" deb yo‘nalish beradi. Asosiy qism Sun’iy intellekt ta’lim oluvchining nafaqat natijalarini, balki o‘rganish uslubini (vizual, auditorial yoki kinestetik) tahlil qilish imkonini beradi. Adaptiv algoritmlar talabaning har bir testga sarflagan vaqti va xatolarini "machine learning" yordamida o‘rganib, unga mos ravishda qiyinlik darajasini o‘zgartirib boradi. Bu orqali: • Kognitiv yuklamani optimallashtirish: SI talabaga u hali tayyor bo‘lmagan murakkab materialni bermaydi, bu esa motivatsiya pasayishining oldini oladi. • Shaxsiy mentorlik: Har bir xodim yoki talaba uchun 24/7 rejimida ishlaydigan virtual tyutorlar shakllantiriladi. Kadrlar tayyorlashda innovatsion texnologik ekotizim: Innovatsiya bu faqat kompyuter emas, balki ma'lumotlarni qaror qabul qilish darajasiga ko‘tarishdir: - VR/AR Simulyatsiyalar: Masalan, neft-gaz yoki tibbiyot sohasida xodimlar xavfli operatsiyalarni raqamli egizak (Digital Twin) muhitida amalga oshirib ko‘radi. Bu kadr tayyorlashdagi "xato qilish narxi"ni nolga tushiradi.Neftgaz, atom energetikasi yoki jarrohlik kabi yuqori xavfli sohalarda mutaxassislar 36

real ob’ektning "raqamli egizagi"da mashq qiladilar. Bu jarayonda yo‘l qo‘yilgan xato real iqtisodiy zarar yoki inson hayotiga tahdid solmaydi, balki tajriba sifatida qayd etiladi.[3] - Ko‘nikmalarni shakllantirish tezligi: Tadqiqotlar shuni ko‘rsatadiki, VR muhitida o‘qitilgan kadrlar nazariy ta’lim olganlarga qaraganda 4 barobar tezroq amaliy ko‘nikmalarni o‘zlashtiradilar. SI esa har bir harakatni tahlil qilib, xodimning aynan qaysi manipulyatsiyada oqsashini ko‘rsatib beradi. - Big Data va Mehnat bozori integratsiyasi: SI yirik vakansiyalar portallari (LinkedIn, HeadHunter) va iqtisodiy o‘sish ko‘rsatkichlarini tahlil qilib, kelajakda kerak bo‘ladigan "yashil" va "raqamli" ko‘nikmalarni aniqlaydi. O‘quv dasturlari esa bu ma'lumotlarga qarab avtomatik korreksiya qilinadi. Sun’iy intellekt global vakansiyalar agregatorlari (LinkedIn, Glassdoor, HeadHunter) va tarmoqlar rivojlanish strategiyalarini doimiy monitoring qiladi. Natijada, hali bozorda ommalashmagan, lekin 2-3 yildan keyin trendga chiqadigan "yashil iqtisodiyot" yoki "kvant hisoblash" kabi yo‘nalishlar bo‘yicha o‘quv modullari avtomatik tarzda shakllantiriladi. - Dasturlarning adaptivligi: O‘quv rejalari endi 5 yilga qotib qolgan hujjat emas, balki bozor talabiga qarab har semestrda yangilanadigan "tirik tizim"ga aylanadi. - Neyro-interfeyslar: Kelajakda talabalarning diqqat darajasini o‘lchovchi datchiklar yordamida darsning qaysi qismi zerikarli yoki qiyin ekanligi aniqlanadi (Biofeedback ta'limi).Neyro-datchiklar yordamida talabaning dars davomidagi diqqat kontsentratsiyasi, stress darajasi va materialni qabul qilish tezligi o‘lchanadi. Agar guruhning katta qismida ma’ruzaning 20-daqiqasida diqqat pasayishi kuzatilsa, SI tizimi o‘qituvchiga dars uslubini o‘zgartirish yoki tanaffus e’lon qilish haqida signal beradi. - Shaxsiylashtirilgan kontent: Neyrotarmoqlar talabaning "zerikish" yoki "tushunmaslik" holatlarini yuz ifodalari (Emotion AI) orqali aniqlab, materialni soddalashtirilgan shaklda yoki vizual formatda qayta taqdim etadi.[4] Xulosa. Olib borilgan tadqiqotlar va tahlillar shuni ko‘rsatadiki, sun’iy intellekt hamda innovatsion texnologiyalarni kadrlar tayyorlash tizimiga integratsiya qilish shunchaki zamonaviy talab emas, balki raqamli iqtisodiyotda omon qolishning strategik shartidir. Xulosa o‘rnida quyidagi muhim jihatlarni ta’kidlash lozim: 1. Inson kapitalining yangi sifati: Sun’iy intellekt ta’lim jarayonida o‘qituvchining o‘rnini bosuvchi emas, balki uning imkoniyatlarini kengaytiruvchi, ta’lim oluvchining esa shaxsiy salohiyatini ochib beruvchi "aqlli assistent"ga aylandi. Adaptiv o‘qitish tizimlari orqali "bir xil qolipdagi ta’lim"dan voz kechish, har bir kadrning individual qobiliyatlarini maksimal darajada yuzaga chiqarishga imkon beradi. 2. Nazariya va amaliyotning uzviyligi: VR/AR simulyatsiyalari va "raqamli egizaklar" texnologiyasining qo‘llanilishi kadrlar tayyorlashdagi "xato qilish narxi"ni keskin kamaytiradi. Bu esa, ayniqsa, yuqori texnologik va hayot 37

uchun xavfli sohalarda mutaxassislarni tayyorlash sifatini yangi bosqichga olib chiqadi. 3. Dinamik moslashuvchanlik: Big Data tahlillari asosida o‘quv dasturlarining mehnat bozori bilan real vaqt rejimida bog‘lanishi, ta’lim tizimining inertligini (sekinligini) bartaraf etadi. Kelajak kadrlaridan nafaqat mavjud bilimlarni egallash, balki "umrbod o‘qish" (lifelong learning) ko‘nikmasini SI yordamida shakllantirish talab etiladi. Amaliy tavsiya sifatida: O‘zbekiston sharoitida kadrlar tayyorlash sifatini oshirish uchun oliy ta’lim muassasalari va ishlab chiqarish korxonalari o‘rtasida yagona "Raqamli ta’lim ekotizimi"ni yaratish, neyro-texnologiyalar va sun’iy intellektni metodik jihatdan to‘g‘ri joriy etish maqsadga muvofiqdir. Bu yondashuv mamlakatimizning xalqaro mehnat bozoridagi raqobatbardoshligini ta’minlovchi asosiy omil bo‘lib xizmat qiladi. Foydalanilgan adabiyotlar: 1. PF-358-sonli Farmon (14.10.2024): "O‘zbekiston Respublikasida sun’iy intellekt texnologiyalarini 2030-yilgacha rivojlantirish strategiyasini tasdiqlash to‘g‘risida". [1] 2. Jahon Iqtisodiy Forumi (World Economic Forum): "Future of Jobs Report 2023" hisobotiga ko‘ra, 2027-yilgacha kadrlarning 44% asosiy ko‘nikmalari o‘zgaradi va sun’iy intellekt eng talabgir ko‘nikmalardan biri bo‘ladi.[2] 3. PwC Strategy+: "How VR is transforming the future of learning" VR texnologiyalarining kadrlar tayyorlashdagi iqtisodiy va pedagogik samaradorligi tahlili. PwC VR Study 4. Frontiers in Education: "Neuro-interfacing in Digital Learning" Neyro-interfeyslarning ta'lim jarayonida qo‘llanilishi va kognitiv yuklamani boshqarish bo‘yicha ilmiy maqola.Frontiersin.org SUN’IY INTELLEKT VA INNOVATSION YONDASHUV ASOSIDA KADRLAR TAYYORLASH HAMDA MA’NVIY-MA’RIFIY TARBIYA JARAYONLARIGA INTEGRATSIYA QILISH IMKONIYATLARI Abduvaliyeva Dildora Abulkasimovna, GulDPI Ijtimoiy-gumanitar fanlarni o‘qitish metodikasi (ma’naviyat asoslari) yo‘nalishi magistranti, email: dildoraxon8686@gmail.com Annotatsiya. Mazkur maqolada sun’iy intellektni ma’naviy-ma’rifiy tarbiya jarayonlariga integratsiya qilish imkoniyatlari, afzallik va xavflari tahlil qilinadi. Texnologiya va insoniy qadriyatlar o‘rtasidagi muvozanat, axloqiy mas’uliyat hamda tanqidiy fikrlashni rivojlantirish masalalari yoritiladi. Kalit so‘zlar: Sun’iy intellekt, ma’naviy tarbiya, axloqiy mas’uliyat, tanqidiy fikrlash, raqamli ta’lim Аннотация. В статье анализируются возможности интеграции искусственного интеллекта в духовно-нравственное воспитание молодежи, его преимущества и риски. Особое внимание уделяется балансу между технологическим прогрессом и человеческими ценностями, а также вопросам этической ответственности и развития критического мышления. Ключевые слова: Искусственный интеллект, духовное воспитание, этическая ответственность, критическое мышление, цифровое образование 38