<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE root>
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">RUDN Journal of Psychology and Pedagogics</journal-id><journal-title-group><journal-title xml:lang="en">RUDN Journal of Psychology and Pedagogics</journal-title><trans-title-group xml:lang="ru"><trans-title>Вестник Российского университета дружбы народов. Серия: Психология и педагогика</trans-title></trans-title-group></journal-title-group><issn publication-format="print">2313-1683</issn><issn publication-format="electronic">2313-1705</issn><publisher><publisher-name xml:lang="en">Peoples’ Friendship University of Russia named after Patrice Lumumba (RUDN University)</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">34290</article-id><article-id pub-id-type="doi">10.22363/2313-1683-2023-20-1-145-162</article-id><article-id pub-id-type="edn">ENDLNY</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>PERSONALITY IN THE DIGITAL AGE: KNOWLEDGE, EDUCATION, DEVELOPMENT</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>ЛИЧНОСТЬ В ЦИФРОВУЮ ЭПОХУ: ПОЗНАНИЕ, ОБРАЗОВАНИЕ, РАЗВИТИЕ</subject></subj-group><subj-group subj-group-type="article-type"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Reviewing Learning and Teaching Content in the Scope of Artificial Intelligence: for Humanities and Social Sciences Majors</article-title><trans-title-group xml:lang="ru"><trans-title>Актуализация содержания обучения студентов социально-гуманитарного профиля подготовки в контуре искусственного интеллекта</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-6539-3085</contrib-id><contrib-id contrib-id-type="spin">8449-4835</contrib-id><name-alternatives><name xml:lang="en"><surname>Yarotskaya</surname><given-names>Lyudmila V.</given-names></name><name xml:lang="ru"><surname>Яроцкая</surname><given-names>Людмила Владимировна</given-names></name></name-alternatives><bio xml:lang="en"><p>Dr. Sci. (Pedagogy), Associate Professor, Head of the Department of Psychology and Pedagogical Anthropology, Institute of Humanities and Applied Sciences</p></bio><bio xml:lang="ru"><p>доктор педагогических наук, доцент, заведующая кафедрой психологии и педагогической антропологии, Институт гуманитарных и прикладных наук</p></bio><email>lvyar@yandex.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-5397-7999</contrib-id><contrib-id contrib-id-type="spin">8595-0774</contrib-id><name-alternatives><name xml:lang="en"><surname>Aleinikova</surname><given-names>Daria V.</given-names></name><name xml:lang="ru"><surname>Алейникова</surname><given-names>Дарья Викторовна</given-names></name></name-alternatives><bio xml:lang="en"><p>Ph.D. in (Pedagogy), Associate Professor at the Department of Linguistics and Professional Communication in the Field of Law, Institute of International Law and Justice</p></bio><bio xml:lang="ru"><p>кандидат педагогических наук, доцент кафедры лингвистики и профессиональной коммуникации в области права, Институт международного права и правосудия</p></bio><email>festabene@mail.ru</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Moscow State Linguistic University</institution></aff><aff><institution xml:lang="ru">Московский государственный лингвистический университет</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2023-03-30" publication-format="electronic"><day>30</day><month>03</month><year>2023</year></pub-date><volume>20</volume><issue>1</issue><issue-title xml:lang="en">VOL 20, NO1 (2023)</issue-title><issue-title xml:lang="ru">ТОМ 20, №1 (2023)</issue-title><fpage>145</fpage><lpage>162</lpage><history><date date-type="received" iso-8601-date="2023-04-07"><day>07</day><month>04</month><year>2023</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2023, Yarotskaya L.V., Aleinikova D.V.</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2023, Яроцкая Л.В., Алейникова Д.В.</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="en">Yarotskaya L.V., Aleinikova D.V.</copyright-holder><copyright-holder xml:lang="ru">Яроцкая Л.В., Алейникова Д.В.</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by-nc/4.0</ali:license_ref></license></permissions><self-uri xlink:href="https://journals.rudn.ru/psychology-pedagogics/article/view/34290">https://journals.rudn.ru/psychology-pedagogics/article/view/34290</self-uri><abstract xml:lang="en"><p style="text-align: justify;">Social progress is largely determined by the degree to which digital reality is mastered by society as well as by the development and implementation of innovative technologies related to the use of artificial intelligence. Of particular relevance are issues related to the training of a new generation of specialists, who will be able not only to harmoniously fit into the current digital contexts of social life but also purposefully improve, develop and transform their professional digital tools. It is required to set and solve the tasks of developing students’ competences at a high-quality level, which implies pedagogical specification of the modern educational content. The aim of the study is to elaborate a didactic apparatus for revising the modern educational content for students majoring in the humanities and social sciences, taking into account the current contexts of professional activity in digital reality. The authors have formulated a hypothesis that, in order to prepare humanities students to solve the ever more complex tasks of professional activity and communication in digital reality, it is necessary to update the educational content on an interdisciplinary basis, bringing it into line with the digital contexts of professional activity in this field and introducing a new content outline. This can be done if the following tasks are solved: (1) to define the current areas of work of a specialist in the humanities and social sciences in digital reality and, on this basis, create a digital profile for such a specialist, i.e., an invariant set of tasks relevant in the context of digitalization as well as the corresponding competences; (2) to determine a set of disciplines that have the greatest potential for implementing the digital profile of such a specialist; (3) to substantiate the project of changes in the educational content for students majoring in the humanities and social sciences; and (4) to conduct an experimental test of the draft changes in this educational content. The nominal data comparison method, namely the McNemar test, was used. The solution of the above tasks allowed us: in theoretical terms, to lay the conceptual foundations for selecting the actual educational content for students majoring in the humanities and social sciences in digital reality and, in practical terms, to propose specific tools for updating the subject content. The obtained results confirmed the hypothesis of the study and ways to update the educational content on an interdisciplinary basis, taking into account the current contexts of the professional activity in the social and humanitarian sphere in digital reality.</p></abstract><trans-abstract xml:lang="ru"><p style="text-align: justify;">Общественный прогресс в значительной степени определяется уровнем освоения социумом цифровой реальности, разработкой и внедрением инновационных технологий, связанных с применением искусственного интеллекта. Актуальность приобретают вопросы подготовки нового поколения специалистов, способных не только гармонично вписаться в актуальные цифровые контексты жизни социума, но и целенаправленно совершенствовать, развивать, преобразовывать свой профессиональный цифровой инструментарий. Для этого необходимо формировать компетенции обучающихся на высоком качественном уровне, что предполагает педагогическую конкретизацию современного содержания обучения. Цель исследования - разработка дидактического аппарата для пересмотра современного содержания обучения студентов социально-гуманитарного профиля подготовки с учетом актуальных контекстов профессиональной деятельности в условиях цифровой реальности. Сформулирована гипотеза о том, что для подготовки студента-гуманитария к решению постоянно усложняющихся задач профессиональной деятельности и профессионального общения в условиях цифровой реальности необходимо актуализировать содержание обучения на междисциплинарной основе, приведя его в соответствие с цифровыми контекстами профессиональной деятельности специалиста такого профиля и представив новый контур содержания. Установлены актуальные направления работы специалиста социально-гуманитарного профиля в условиях цифровой реальности и создан цифровой профиль такого специалиста - инвариантный набор задач, актуальных в контексте цифровизации, и соответствующие ему компетенции. Определен комплекс дисциплин, обладающих наибольшим потенциалом в реализации цифрового профиля специалиста. Обоснован проект изменений в содержании обучения студентов социально-гуманитарного профиля подготовки. Проведена опытная проверка проекта изменений в содержании обучения. Использовался метод сравнения номинальных данных - критерий Мак-Немара. Решение поставленных задач позволило: в теоретическом плане - заложить концептуальные основания для отбора актуального содержания обучения студентов социально-гуманитарных направлений подготовки в условиях цифровой реальности, а в практическом отношении - предложить конкретные инструменты для актуализации предметного содержания. Полученные результаты подтвердили гипотезу исследования и пути актуализации содержания обучения на междисциплинарной основе с учетом актуальных контекстов профессиональной деятельности специалиста социально-гуманитарного профиля в условиях цифровой реальности.</p></trans-abstract><kwd-group xml:lang="en"><kwd>actual educational content</kwd><kwd>artificial intelligence</kwd><kwd>professional activity</kwd><kwd>humanities and social sciences</kwd><kwd>digitalization</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>актуальное содержание обучения</kwd><kwd>искусственный интеллект</kwd><kwd>профессиональная деятельность</kwd><kwd>социально-гуманитарный профиль</kwd><kwd>цифровизация</kwd></kwd-group><funding-group/></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><citation-alternatives><mixed-citation xml:lang="en">Ashton, H. (2022). Definitions of intent suitable for algorithms. Artificial Intelligence Law. Retrieved August 3, 2022, from https://link.springer.com/content/pdf/10.1007/s10506-022-09322-x.pdf</mixed-citation><mixed-citation xml:lang="ru">Ильф И., Петров Е. Двенадцать стульев. М.: Вагриус, 2000. 464 с.</mixed-citation></citation-alternatives></ref><ref id="B2"><label>2.</label><citation-alternatives><mixed-citation xml:lang="en">Bach, P., Chernozhukov, V., Kurz, M.S., &amp; Spindler, M. (2022). DoubleML - an object-oriented implementation of Double Machine Learning in Python. Journal of Machine Learning Research, 23(53), 1-6. https://doi.org/10.48550/arXiv.2103.09603</mixed-citation><mixed-citation xml:lang="ru">Косов М.Е. Рынок LegalTech: обзор и перспективы развития // Международный журнал гражданского и торгового права. 2019. № 2. С. 19–29.</mixed-citation></citation-alternatives></ref><ref id="B3"><label>3.</label><citation-alternatives><mixed-citation xml:lang="en">Bakker, D., Kazantzis, N., Rickwood, D., &amp; Rickard, N. (2018). Development and pilot evaluation of smartphone-delivered cognitive behavior therapy strategies for moodand anxiety-related problems: MoodMission. Cognitive and Behavioral Practice, 25(4), 496-514. https://doi.org/10.1016/j.cbpra.2018.07.002</mixed-citation><mixed-citation xml:lang="ru">Левин Б.А., Пискунов А.А., Поляков В.Ю., Савин А.В. Искусственный интеллект в инженерном образовании // Высшее образование в России. 2022. Т. 31. № 7. С. 79–95. https://doi.org/10.31992/0869-3617-2022-31-7-79-95</mixed-citation></citation-alternatives></ref><ref id="B4"><label>4.</label><citation-alternatives><mixed-citation xml:lang="en">Bezboruah, T., &amp; Abhijit, B. (2020). Artificial intelligence: The technology, challenges and applications. Transactions on Machine Learning and Artificial Intelligence, 8(5), 44-51. https://doi.org/10.14738/tmlai.85.8956</mixed-citation><mixed-citation xml:lang="ru">Нестик Т.А. Развитие цифровых технологий и будущее психологии // Вестник Московского государственного областного университета. Серия: Психологические науки. 2017. № 3. С. 6–15. https://doi.org/10.18384/2310-7235-2017-3-6-15</mixed-citation></citation-alternatives></ref><ref id="B5"><label>5.</label><citation-alternatives><mixed-citation xml:lang="en">Chen, H., Chen, J., &amp; Ding, J. (2021). Data evaluation and enhancement for quality improvement of machine learning. IEEE Transactions on Reliability, 70(2), 831-847. https://doi.org/10.1109/tr.2021.3070863</mixed-citation><mixed-citation xml:lang="ru">Пинчук А.Н., Тихомиров Д.А. О взаимодействии человека и искусственного интеллекта: новая социальная реальность в представлении московских студентов // Знание. Понимание. Умение. 2019. № 3. С. 85–97. https://doi.org/10.17805/zpu.2019.3.8</mixed-citation></citation-alternatives></ref><ref id="B6"><label>6.</label><citation-alternatives><mixed-citation xml:lang="en">Feuerriegel, S., Shrestha, Y.R., von Krogh, G., &amp; Zhang, C. (2022). Bringing artificial intelligence to business management. Nature Machine Intelligence, 4(7), 611-613. https://doi.org/10.1038/s42256-022-00512-5</mixed-citation><mixed-citation xml:lang="ru">Хомякова Н.П., Вербицкий А.А. Новое направление лингводидактики: контекстное обучение иностранному языку специальности. Saarbrücken: Palmarium Academic Publishing, 2015. 338 c.</mixed-citation></citation-alternatives></ref><ref id="B7"><label>7.</label><citation-alternatives><mixed-citation xml:lang="en">Gratzer, D., &amp; Goldbloom, D. (2020). Therapy and e-therapy - preparing future psychiatrists in the era of apps and chatbots. Academic Psychiatry, 44(2), 231-234. https://doi.org/10.1007/s40596-019-01170-3</mixed-citation><mixed-citation xml:lang="ru">Яроцкая Л.В. Иностранный язык и становление профессиональной личности (неязыковой вуз): монография. М.: Триумф, 2016. 258 с.</mixed-citation></citation-alternatives></ref><ref id="B8"><label>8.</label><citation-alternatives><mixed-citation xml:lang="en">Halal, W., Kolber, J., &amp; Davies, O. (2016). Forecasts of AI and future jobs in 2030: Muddling through likely, with two alternative scenarios. Journal of Futures Studies, 21(2), 83-96. https://doi.org/10.6531/JFS.2016.21(2).R83</mixed-citation><mixed-citation xml:lang="ru">Яроцкая Л.В., Алейникова Д.В., Бондарчук Г.Г. Лингвистические и лингводидактические основы обучения студентов-юристов иноязычному профессиональному общению в условиях коллизии правовых культур: монография. М.: Триумф, 2020. 170 с. https://doi.org/10.32986/978-5-93673-302-4-2020-11</mixed-citation></citation-alternatives></ref><ref id="B9"><label>9.</label><citation-alternatives><mixed-citation xml:lang="en">Ilf, I., &amp; Petrov, E. (2000). The twelve chairs. Moscow: Vagrius Publ. (In Russ.)</mixed-citation><mixed-citation xml:lang="ru">Ashton H. Definitions of intent suitable for algorithms // Artificial Intelligence Law. 2022. URL: https://link.springer.com/content/pdf/10.1007/s10506-022-09322-x.pdf (дата обращения: 08.03.2022).</mixed-citation></citation-alternatives></ref><ref id="B10"><label>10.</label><citation-alternatives><mixed-citation xml:lang="en">Khomyakova, N.P., &amp; Verbitskii, A.A. (2015). A new direction of linguodidactics: Contextual teaching of a foreign language of a specialty. Saarbrücken: Palmarium Academic Publishing. (In Russ.)</mixed-citation><mixed-citation xml:lang="ru">Bach P., Chernozhukov V., Kurz M.S., Spindler M. DoubleML – an object-oriented implementation of Double Machine Learning in Python // Journal of Machine Learning Research. 2022. Vol. 23. No 53. Pp. 1–6. https://doi.org/10.48550/arXiv.2103.09603</mixed-citation></citation-alternatives></ref><ref id="B11"><label>11.</label><citation-alternatives><mixed-citation xml:lang="en">Kosov, M.E. (2019). LegalTech market: Overview and prospects. International Journal of Civil and trade Law, (2), 19-29. (In Russ.)</mixed-citation><mixed-citation xml:lang="ru">Bakker D., Kazantzis N., Rickwood D., Rickard N. Development and pilot evaluation of smartphone-delivered cognitive behavior therapy strategies for moodand anxiety-related problems: MoodMission // Cognitive and Behavioral Practice. 2018. Vol. 25. No 4. Pp. 496–514. https://doi.org/10.1016/j.cbpra.2018.07.002</mixed-citation></citation-alternatives></ref><ref id="B12"><label>12.</label><citation-alternatives><mixed-citation xml:lang="en">Kotsoglou, K.N. (2020). Proof beyond a context-relevant doubt. A structural analysis of the standard of proof in criminal adjudication. Artificial Intelligence and Law, 28(1), 111-133. https://doi.org/10.1007/s10506-019-09248-x</mixed-citation><mixed-citation xml:lang="ru">Bezboruah T., Abhijit B. Artificial intelligence: the technology, challenges and applications // Transactions on Machine Learning and Artificial Intelligence. 2020. Vol. 8. No 5. Pp. 44–51. https://doi.org/10.14738/tmlai.85.8956</mixed-citation></citation-alternatives></ref><ref id="B13"><label>13.</label><citation-alternatives><mixed-citation xml:lang="en">Levin, B.A., Piskunov, A.A., Poliakov, V.Yu., &amp; Savin, A.V. (2022). Artificial intelligence in engineering education. Higher Education in Russia, 31(7), 79-95. (In Russ.) https://doi.org/10.31992/0869-3617-2022-31-7-79-95</mixed-citation><mixed-citation xml:lang="ru">Chen H., Chen J., Ding J. Data evaluation and enhancement for quality improvement of machine learning // IEEE Transactions on Reliability. 2021. Vol. 70. No 2. Pp. 831–847. https://doi.org/10.1109/tr.2021.3070863</mixed-citation></citation-alternatives></ref><ref id="B14"><label>14.</label><citation-alternatives><mixed-citation xml:lang="en">Mohtaj, S., &amp; Asghari, H. (2022). A corpus for evaluation of cross language text re-use detection systems. Journal of Information Systems and Telecommunication, 10(3), 169-179. https://doi.org/10.52547/jist.33583.10.39.169</mixed-citation><mixed-citation xml:lang="ru">Feuerriegel S., Shrestha Y.R., von Krogh G., Zhang C. Bringing artificial intelligence to business management // Nature Machine Intelligence. 2022. Vol. 4. No 7. Pp. 611–613. https://doi.org/10.1038/s42256-022-00512-5</mixed-citation></citation-alternatives></ref><ref id="B15"><label>15.</label><citation-alternatives><mixed-citation xml:lang="en">Nestik, T.A. (2017). Development of digital technologies and the future of psychology. Bulletin of the Moscow State Regional University (Psychology), (3), 6-15. (In Russ.) https://doi.org/10.18384/2310-7235-2017-3-6-15</mixed-citation><mixed-citation xml:lang="ru">Gratzer D., Goldbloom D. Therapy and e-therapy – preparing future psychiatrists in the era of apps and chatbots // Academic Psychiatry. 2020. Vol. 44. No 2. Pp. 231–234. https://doi.org/10.1007/s40596-019-01170-3</mixed-citation></citation-alternatives></ref><ref id="B16"><label>16.</label><citation-alternatives><mixed-citation xml:lang="en">Pinchuk, A.N., &amp; Tikhomirov, D.A. (2019). On the interaction of human and artificial intelligence: A new social reality in the minds of Moscow students. Znanie. Ponimanie. Umenie, (3), 85-97. (In Russ.) https://doi.org/10.17805/zpu.2019.3.8</mixed-citation><mixed-citation xml:lang="ru">Halal W., Kolber J., Davies O. Forecasts of AI and future jobs in 2030: Muddling Through likely, with two alternative scenarios // Journal of Futures Studies. 2016. Vol. 21. No 2. Pp. 83–96. https://doi.org/10.6531/JFS.2016.21(2).R83</mixed-citation></citation-alternatives></ref><ref id="B17"><label>17.</label><citation-alternatives><mixed-citation xml:lang="en">Remus, D., &amp; Levy, F.S. (2016). Can robots be lawyers? Computers, Lawyers, and the Practice of Law. SSRN Electronic Journal. http://doi.org/10.2139/ssrn.2701092</mixed-citation><mixed-citation xml:lang="ru">Kotsoglou K.N. Proof beyond a context-relevant doubt. A structural analysis of the standard of proof in criminal adjudication // Artificial Intelligence and Law. 2020. Vol. 28. No 1. Pp. 111–133. https://doi.org/10.1007/s10506-019-09248-x</mixed-citation></citation-alternatives></ref><ref id="B18"><label>18.</label><citation-alternatives><mixed-citation xml:lang="en">Sáez, C., Romero, N., Conejero, J.A., &amp; García-Gómez, J.M. (2021). Potential limitations in COVID-19 machine learning due to data source variability: A case study in the nCov2019 dataset. Journal of the American Medical Informatics Association, 28(2), 360-364. https://doi.org/10.1093/jamia/ocaa258</mixed-citation><mixed-citation xml:lang="ru">Mohtaj S., Asghari H. A corpus for evaluation of cross language text re-use detection systems // Journal of Information Systems and Telecommunication. 2022. Vol. 10. No 3. Pp. 169–179. https://doi.org/10.52547/jist.33583.10.39.169</mixed-citation></citation-alternatives></ref><ref id="B19"><label>19.</label><citation-alternatives><mixed-citation xml:lang="en">Suárez, L.E., Richards, B.A., Lajoie, G., &amp; Misic, B. (2021). Learning function from structure in neuromorphic networks. Nature Machine Intelligence, 3(9), 771-786. https://doi.org/10.1038/s42256-021-00376-1</mixed-citation><mixed-citation xml:lang="ru">Remus D., Levy F.S. Can robots be lawyers? Computers, lawyers, and the practice of law // SSRN Electronic Journal. 2016. http://doi.org/10.2139/ssrn.2701092</mixed-citation></citation-alternatives></ref><ref id="B20"><label>20.</label><citation-alternatives><mixed-citation xml:lang="en">Surden, H. (2019). Artificial intelligence and law: An overview. Georgia State University Law Review, 35(4), 1305-1337.</mixed-citation><mixed-citation xml:lang="ru">Saez C., Romero N., Conejero J.A., García-Gómez J.M. Potential limitations in COVID-19 machine learning due to data source variability: a case study in the nCov2019 dataset // Journal of the American Medical Informatics Association. 2021. Vol. 28 No 2. Pp. 360–364. https://doi.org/10.1093/jamia/ocaa258</mixed-citation></citation-alternatives></ref><ref id="B21"><label>21.</label><citation-alternatives><mixed-citation xml:lang="en">Susskind, R., &amp; Susskind, D. (2015). The future of the professions: How technology will transform the work of human experts. Oxford: Oxford University Press. https://doi.org/10.1093/oso/9780198713395.001.0001</mixed-citation><mixed-citation xml:lang="ru">Suárez L.E., Richards B.A., Lajoie G., Misic B. Learning function from structure in neuromorphic networks // Nature Machine Intelligence. 2021. Vol. 9. No 3. Pp. 771–786. https://doi.org/10.1038/s42256-021-00376-1</mixed-citation></citation-alternatives></ref><ref id="B22"><label>22.</label><citation-alternatives><mixed-citation xml:lang="en">Von Eschenbach, W.J. (2021). Transparency and the black box problem: Why we do not trust AI. Philosophy &amp; Technology, 34(4), 1607-1622. https://doi.org/10.1007/s13347-021-00477-0</mixed-citation><mixed-citation xml:lang="ru">Surden H. Artificial intelligence and law: an overview // Georgia State University Law Review. 2019. Vol. 35. No 4. Pp. 1305–1337.</mixed-citation></citation-alternatives></ref><ref id="B23"><label>23.</label><citation-alternatives><mixed-citation xml:lang="en">Waisberg, N., &amp; Hudek, A. (2021). AI for lawyers: How artificial intelligence is adding value, amplifying expertise, and transforming careers. Hoboken: Wiley.</mixed-citation><mixed-citation xml:lang="ru">Susskind R., Susskind D. The future of the professions: how technology will transform the work of human experts. Oxford: Oxford University Press, 2015. 368 p.</mixed-citation></citation-alternatives></ref><ref id="B24"><label>24.</label><citation-alternatives><mixed-citation xml:lang="en">Yarotskaya, L.V. (2016). Foreign language and the formation of a professional personality (non-linguistic university). Moscow: Triumf Publ. (In Russ.)</mixed-citation><mixed-citation xml:lang="ru">Von Eschenbach W.J. Transparency and the black box problem: why we do not trust AI // Philosophy &amp; Technology. 2021. Vol. 34. No. 4. Pp. 1607–1622. https://doi.org/10.1007/s13347-021-00477-0</mixed-citation></citation-alternatives></ref><ref id="B25"><label>25.</label><citation-alternatives><mixed-citation xml:lang="en">Yarotskaya, L.V., Aleĭnikova, D.V., &amp; Bondarchuk, G.G. (2020). Linguistic and linguodidactic foundations for teaching foreign language professional communication to law students in the context of a conflict of legal cultures. Moscow: Triumf Publ. (In Russ.) https://doi.org/10.32986/978-5-93673-302-4-2020-11</mixed-citation><mixed-citation xml:lang="ru">Waisberg N., Hudek A. AI for lawyers: how artificial intelligence is adding value, amplifying expertise, and transforming careers. Hoboken: Wiley, 2021. 208 p.</mixed-citation></citation-alternatives></ref><ref id="B26"><label>26.</label><citation-alternatives><mixed-citation xml:lang="en">Yu, R., &amp; Spina Alì, G. (2019). What's inside the black box? AI challenges for lawyers and researchers. Legal Information Management, 19(1), 2-13. https://doi.org/10.1017/s1472669619000021</mixed-citation><mixed-citation xml:lang="ru">Yu R., Spina Alì G. What's inside the black box? AI challenges for lawyers and researchers // Legal Information Management. 2019. Vol. 19. No 1. Pp. 2–13. https://doi.org/10.1017/s1472669619000021</mixed-citation></citation-alternatives></ref><ref id="B27"><label>27.</label><citation-alternatives><mixed-citation xml:lang="en">Zaharia, M.H. (2011). AI applications in psychology. In P. Vizureanu (Ed.), Expert Systems for Human, Materials and Automation (pp. 75-92). Rijeka: InTech. https://doi.org/10.5772/16620</mixed-citation><mixed-citation xml:lang="ru">Zaharia M.H. AI applications in psychology // Expert Systems for Human, Materials and Automation / ed. by P. Vizureanu. Rijeka: InTech, 2011. Pp. 75–92. https://doi.org/10.5772/16620</mixed-citation></citation-alternatives></ref></ref-list></back></article>
