Авторы

  • Шахзода Зокирова
    Преподаватель, кафедрa английского языка в начальной школе, факультет английского языка 2, Узбекский государственный университет мировых языков

DOI:

https://doi.org/10.71337/inlibrary.uz.foreign-linguistics.67288

Ключевые слова:

межкультурная коммуникация искусственный интеллект перевод технология ChatGPT автоматическая генерация

Аннотация

В данной статье анализируется возможность использования искусственного интеллекта (ИИ) для улучшения межкультурной коммуникации в контексте глобализации. Исследование подчеркивает растущую потребность в эффективных инструментах коммуникации между людьми различного культурного происхождения. Особое внимание уделяется перспективам использования ИИ в качестве технологии, способной преодолеть культурные и языковые барьеры. Статья рассматривает как теоретические, так и практические аспекты применения ИИ в переводе и межкультурном диалоге, обозначая потенциальные преимущества и вызовы на пути интеграции таких технологий в общение


background image

Xorijiy lingvistika va lingvodidaktika

Зарубежная

лингвистика

и

лингводидактика

Foreign

Linguistics and Linguodidactics

Journal home page:

https://inscience.uz/index.php/foreign-linguistics

The specificity of artificial intelligence in the advancement
of intercultural communication

Shakhzoda ZOKIROVA

1


Uzbekistan State World Languages University

ARTICLE INFO

ABSTRACT

Article history:

Received April 2024

Received in revised form

10 May 2024

Accepted 25 May 2024

Available online

25 June 2024

This article analyzes the possibility of using artificial

intelligence (AI) to improve intercultural communication in the
context of globalization. The study highlights the growing need
for effective communication tools between people of different

cultural backgrounds. Particular attention is paid to the
prospects for using AI as a technology that can overcome cultural

and language barriers. The article examines both theoretical and
practical aspects of the use of AI in translation and intercultural
dialogue, identifying potential benefits and challenges to the

integration of such technologies into communication.

2181-3701

2024 in Science LLC.

DOI:

https://doi.org/10.47689/2181-3701-vol2-iss1

/S

-pp750-754

This is an open-access article under the Attribution 4.0 International

(CC BY 4.0) license (

https://creativecommons.org/licenses/by/4.0/deed.ru

)

Keywords:

intercultural

communication,

artificial intelligence,

translation,

technology,

ChatGPT,

automatical generating.

Madaniyatlararo

muloqotni

rivojlantirishda

sun'iy

intellektning o'ziga xosligi

ANNOTATSIYA

Kalit so‘zlar

:

madaniyatlararo aloqa,

sun'iy intellekt,

tarjima,

texnologiya,

ChatGPT,

avtomatik yaratish.

Tez globallashuv davrida muloqotda, ayniqsa, turli

madaniyatlarga ega bo'lgan odamlar o'rtasida silliq tushunish
zarurati tobora kuchayib bormoqda. Ushbu tadqiqot tarjima

orqali madaniyatlararo muloqotni

yaxshilashda sun'iy

intellektdan

(AI)

istiqbolli

foydalanishni

o'rganadi.

Texnologiyaning tarqalishi ko'plab olimlarni sun'iy intellekt (AI)
ushbu to'siqni engib o'tish va madaniyatlararo muloqotni
rivojlantirish uchun vosita bo'lib xizmat qilishi mumkinligini

taxmin qilishga undadi.

1

Teacher, Department of English Language in Primary Education, 2nd English Faculty, Uzbekistan State World

Languages University.


background image

Xorijiy lingvistika va lingvodidaktika

Зарубежная лингвистика

и лингводидактика

Foreign Linguistics and Linguodidactics

Special Issue

1 (2024) / ISSN 2181-3701

751

Специфика искусственного интеллекта в развитии
межкультурной коммуникации

АННОТАЦИЯ

Ключевые слова:

межкультурная

коммуникация,

искусственный интеллект,

перевод,

технология,

ChatGPT,

автоматическая

генерация

.

В

данной

статье

анализируется

возможность

использования искусственного интеллекта (ИИ) для
улучшения межкультурной коммуникации в контексте

глобализации. Исследование подчеркивает растущую
потребность в эффективных инструментах коммуникации

между людьми различного культурного происхождения.
Особое

внимание уделяется перспективам использования

ИИ в качестве технологии, способной преодолеть

культурные и языковые барьеры. Статья рассматривает как
теоретические, так и практические аспекты применения ИИ
в переводе и межкультурном диалоге, обозначая

потенциальные преимущества и вызовы на пути
интеграции таких технологий в общение.


INTRODUCTION

Cross-cultural communication is a complex landscape where diverse languages,

customs, and traditions intersect.

However, the rise of Artificial Intelligence has ushered in a new era, playing a

transformative role in addressing and improving cross-cultural communication challenges.

Through innovative applications and advanced algorithms, AI contributes significantly to
breaking down barriers and fostering effective communication in a globalized world. Cross-

cultural communication often involves overcoming language barriers. AI has revolutionized
this aspect through sophisticated language translation tools. Applications like Google

Translate and Microsoft Translator utilize advanced algorithms to provide real-time, accurate
translations.

Machine learning algorithms employed in these tools allow for a deeper understanding

of contextual nuances, idioms, and cultural references, ensuring more precise and culturally

sensitive communication.

Example: Imagine a global business meeting where participants speak various

languages. AI-powered translation tools, like Google Translate, dynamically interpret spoken
words, ensuring seamless communication and understanding among diverse participants.

Cross-cultural AI solutions go beyond mere language translation by delving into the
recognition of cultural context. Advanced algorithms analyze communications to identify and

understand cultural nuances. By adapting messaging to align with specific cultural
sensitivities, AI-driven systems reduce the risk of misinterpretations, enhancing the

effectiveness of cross-cultural communication.

Example: In a marketing campaign, an AI-driven platform analyzes cultural nuances to

adapt promotional content. If promoting a product in different regions, the system recognizes
cultural preferences, modifying the message to resonate appropriately and avoid unintended

cultural missteps.


background image

Xorijiy lingvistika va lingvodidaktika

Зарубежная лингвистика

и лингводидактика

Foreign Linguistics and Linguodidactics

Special Issue

1 (2024) / ISSN 2181-3701

752

LITERATURE REVIEW

The intersection of AI and ICC education presents an exciting frontier in research and

practice. Empirical studies exploring the impact of AI on ICC development are emerging,

shedding light on the potential benefits of AI interventions. For instance, AI-powered language
learning platforms have demonstrated their effectiveness in improving language proficiency

[8], while AI-driven intercultural training tools have shown promise in enhancing cultural
awareness and intercultural communication skills [1]. Furthermore, the integration of AI in

ICC education has given rise to new learning outcomes. Adaptive learning systems can tailor
instruction to individual learners' strengths and weaknesses, fostering more efficient skill

acquisition [1]. Real-time cultural insights provided by AI tools enable learners to navigate
complex cultural nuances effectively. Gamification elements incorporated into AI-driven ICC

programs engage learners and promote active participation [5]. Despite the promises,
challenges remain in the effective integration of AI in ICC education. Issues related to data

privacy, ethics, and the digital divide must be carefully considered [4]. Moreover, educators
and policymakers must work collaboratively to harness the potential of AI while ensuring that

it aligns with educational goals and objectives.

Artificial intelligence technology refers to the intelligent behavior of artificial objects,

including perception, reasoning, learning, communication, and behavior in complex situations
[3]. It is a variety of technical means such as computer, image, simulation, language,

multimedia, network, data, virtual reality, and so on and provides an effective auxiliary means
for human beings [2]. With the development of artificial intelligence technology, the

interaction between people and intelligent machines is getting closer and closer. In some
ways, people have been able to perform human-computer interaction in real time, providing

better services for people’s daily lives and production. Using artificial intelligence technology

to protect intangible cultural heritage and using artificial intelligence technology to spread

intangible cultural heritage, its advantages in the process of dissemination are as follows [3]:

Objective and true: digitally record the text, figures, and sounds of intangible

cultural heritage, to restore the historical style of the time to the greatest extent and fully
display its artistic characteristics and expression techniques. These intangible cultural

heritages can also be permanently preserved [4].

Various forms: when the audience understands the knowledge of intangible

cultural heritage, they are no longer limited to the understanding of words but can selectively
expand to various communication methods such as images, sounds, videos, and so on. It

deepens people’s understanding and recognition of intangible cultural heritage.

Convenient storage: the unique storage information function of new media can

systematically organize and preserve a large number of long-standing and fragmented
intangible cultural heritage and save massive and rich intangible cultural heritage at a very

low cost. Especially the arrival of the 4G era will also bring more convenience to the
dissemination of intangible cultural heritage.

Interactive function: the interaction of new media such as the Internet and mobile

phones has deepened the public’s understanding and understanding of intangible cultural

heritage culture, especially smartphones, which facilitates online and offline support and
interaction, thus broadening the audience of intangible cultural heritage. It is convenient for

the audience to deepen their understanding of intangible cultural heritage and expand the
influence of intangible cultural heritage.


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Xorijiy lingvistika va lingvodidaktika

Зарубежная лингвистика

и лингводидактика

Foreign Linguistics and Linguodidactics

Special Issue

1 (2024) / ISSN 2181-3701

753

Entertainment: with the change of society, the audience cannot accept dogmatic

indoctrination but is willing to accept novel, unique, and entertaining forms to accept new
things. Intangible cultural heritage spreads intangible cultural heritage through humorous

and vivid animation images, vividly displays the content of intangible cultural heritage, and
enriches the form of dissemination of intangible cultural heritage. It can gradually change

people’s outdated views on intangible cultural heritage, stimulate the audience’s interest,

increase their attention, and make them more easily and happily accept and understand

intangible cultural heritage knowledge.

Human-computer interaction is the information exchange between humans and

computers. It includes the two-way information exchange between humans and computers.
It is a key technology in the field of artificial intelligence. Using artificial intelligence software

gets rid of the limitations of traditional keyboards, mice, and other input methods and can use
div language, such as voice, gestures, and so on [4,5]. In a virtual environment, people can

make corresponding actions according to their commands, giving people an immersive
illusion. Most of its technology is implemented by sensors. The digital dissemination of

intangible cultural heritage can be displayed through various platforms, thereby shortening
the distance between intangible cultural heritage and the public.

METHODOLOGY

.

The advancement of AI technology has profoundly transformed the entire process of

information production and dissemination. It is poised to usher in a novel communication
paradigm, wherein Generalized AI, with its potential to replace cognitive labor, can catalyze

an efficiency and intellectual revolution across society, exerting a substantial impact on the
prevailing landscape of cultural communication. As society enters the era of artificial

intelligence, characterized by the widespread adoption and integration of technologies such
as ChatGPT, it promises to revolutionize every facet of cultural communication. However, this

transformation also brings forth a host of new challenges and complexities. ChatGPT
represents an advancement over the GPT (Generative Pretrained Transformer) model,

specifically tailored for dialogue generation and optimized for conversational contexts
through a human-machine closed-loop system. GPT, as a large-scale language model, excels in

automatically generating text-based dialogues closely resembling those of human speakers,
based on the provided context. Furthermore, it can generate various text formats according

to specific requirements and instructions, aligning with the contemporary principles of
machine learning for natural la

nguage processing [2]. Within OpenAI’s array of technical

developments spanning intelligent robotics, AI gaming, and language model training, GPT is
distinguished as the AI series designed to enable artificial intelligence to comprehend and

interact with the human world through language. ChatGPT, building upon the foundation of
the previously released GPT-2 model, introduces refinements to the technical model, initially

focusing on text generation in response to user inputs. Consequently, it has emerged as the
flagship model in this series, marking a significant milestone in the field [3]. After the

deployment of ChatGPT on the Internet, web users from countries around the world have
engaged in interactions with ChatGPT. They have observed that during extensive exchanges,

ChatGPT often provides diverse responses when answering questions posed by different
individuals, utilizing various questioning styles or different languages. This variability is

accompanied by a flexible adaptation to the evolving social dynamics and the subsequent
content of the communication. This capacity for flexible adaptation and personalized

responses unmistakably signifies that this intelligent system is still in its learning and


background image

Xorijiy lingvistika va lingvodidaktika

Зарубежная лингвистика

и лингводидактика

Foreign Linguistics and Linguodidactics

Special Issue

1 (2024) / ISSN 2181-3701

754

maturation phase. It is noteworthy that human involvement in this process is significantly

more intricate than what is encapsulated in the model's training.

As mentioned earlier, one of the exciting facets of being in an era marked by

convergence is that communication is quickly evolving and is more inclusive in terms of
culture and nationalities, and at the same time, it implicates its quality as a linguistic process.

The demand for translation and localization industries is ever-present. In media, when one
translates news into another language and presents it to the people, it determines their

opinions, behavior, and even politics (Sharma, S. K., 2015). Looking into the purpose of
translation automatically ties it to communication as translation is intended to make the

translated text intelligible for people who do not understand the original language from which
the text is written. More than knowing foreign language and grammar, intercultural

communication is among the fields translators must familiarize themselves with to produce
credible versions of the translated text. Since translators commonly work on various forms of

written work

technical documents, legal documents, medical reports, film scripts, and the

like

knowing the form and style of each type of writing is paramount as they are

communicating the form and style in the target language [6].

CONCLUSION

Significant developments in AI translation and intercultural communication have

benefited various industries, and the promise of immediate and more advanced development

in imitating human behavior and cognition is made to keep up with the development phase of
this time. Therefore, it is acceptable to expect AI development to be aggressive, for it means

technology and innovation are living up to the demands of the times. The pervasiveness of AI
communication does not appear to have any threats to cross-cultural translation studies as

the latter being a subfield of applied linguistics, has its own set of trends and potentials that
translation practitioners can explore. Communication studies could even continue to provide

patterns of development that AI translation could follow.

REFERENCES:

1.

Baker, R. S., & Inventado, P. S. (2014). Educational data mining and learning analytics:

Applications to constructionist research. Technology, Knowledge, and Learning, 19(1-2), 205-
220.

2.

Bennett, M. J. (2008). Basic concepts of intercultural communication. In M. J. Bennett

(Ed.), Basic concepts of intercultural communication: Selected readings (pp. 1-22).

Intercultural Press.

3.

Byram, M. (1997). Teaching and assessing intercultural communicative competence.

Multilingual Matters.

4.

Ivanova, O. (2016). Translation and ICT competence in the globalized world.

ScienceDirect, 129- 134.

5.

Kannan, J., & Munday, P. (2018). New trends in second language learning and

teaching through the lens of ICT, networked learning, and artificial intelligence. Circulo de
Linguistica Aplicada a la Comunicacion, 13-30.

6.

Matheny, M. S., Israni, T., Ahmed, M., & and D. Whicher, E. (2019). Artificial

intelligence in health care: the hope, the hype, the promise, the peril. Washington, DC: National

Academy of Medicine: NAM Special Publication.

Библиографические ссылки

Baker, R. S., & Inventado, P. S. (2014). Educational data mining and learning analytics: Applications to constructionist research. Technology, Knowledge, and Learning, 19(1-2), 205-220.

Bennett, M. J. (2008). Basic concepts of intercultural communication. In M. J. Bennett (Ed.), Basic concepts of intercultural communication: Selected readings (pp. 1-22). Intercultural Press.

Byram, M. (1997). Teaching and assessing intercultural communicative competence. Multilingual Matters.

Ivanova, O. (2016). Translation and ICT competence in the globalized world. ScienceDirect, 129- 134.

Kannan, J., & Munday, P. (2018). New trends in second language learning and teaching through the lens of ICT, networked learning, and artificial intelligence. Circulo de Linguistica Aplicada a la Comunicacion, 13-30.

Matheny, M. S., Israni, T., Ahmed, M., & and D. Whicher, E. (2019). Artificial intelligence in health care: the hope, the hype, the promise, the peril. Washington, DC: National Academy of Medicine: NAM Special Publication.