1. Alekseev, A. V., Fomenkov, S. A., (2015). Automated approach to context-dependent analysis of a video stream. News of Volgograd State Technical University, 35-39.

2. Brink, X., Richards, D. (2017). Mashinnoe obuchenie. Piter: SPb, 336.

3. Voznyuk, P. A. (2019). The history of development and the current state of artificial intelligence / P. A. Voznyuk // Globus: technical sciences, 11-19.

4. Grebenyuk, A. A. (2022). Machine learning for image classification. Belgorod State Technological University named after V. G. Shukhov, 103-108.

5. Dyakov, N. V., Saxno, V. V. (2021). Overview of the main types of machine learning. Modern science. 130-133.

6. Enikolopov, S. N., Kuzneczova, Yu. M. (2021). Method of relational situational text analysis in psychological research. Psychology, 18 (4), 748-769.

7. Kizhner, I. A. (2001). Digital technologies of cultural inheritance in modern society. Krasnoyarsk. 182 p.

8. Kistova, A.V. (2020). Synthetic model of culture and cultural practices. Siberian Anthropological Journal, 4 (2), 111-121. doi:https://doi.org/10.31804/2542-1816-2020-4-2-109-119. EDN KLMBSN.

9. Kolesnik, M. A. Sitnikova, A. A., Andryushina, Ya. D. (2023). Artificial intelligence as a tool and co-author in the work of contemporary artists: examples of artistic practices and analysis of works of visual art. Sociology of Artificial Intelligence, 4 (1), 37-51. doihttps://doi.org/10.31804/2712-939X-2023-4-1-37-51. EDN UOQRVI.

10. Mak-Kallok, U.S., Pitts, V. (1956). Logical calculus of ideas related to nervous activity. U.S. McCulloch. In the collection: «Automata» edited by K.E. Shannon and J. McCarthy. Moscow: Publishing House of Foreign Lit, 363-384.

11. Omelik, A. A. (2023). Factors of artificial intelligence influence on the creative process. Sociology of artificial intelligence, 4 (1), 52-63. doihttps://doi.org/10.31804/2712-939X-2023-4-1-52-63. EDN YTVWUK.

12. Ostroux, A. V. (2020). Introduction to artificial intelligence: monograph. Krasnoyarsk: Scientific and Innovation Center, 250.

13. Petrova, M. G. (2020). Artificial intelligence in the methodology of teaching foreign languages. Modern science: actual problems of theory and practice. Series: Humanities, 5(2), 62-66.

14. Pospelov, D. A., Osipov, G. S. (1999). Applied semiotics. Artificial Intelligence News, 9-35.

15. Sirazetdinova, M. F. (2014). Socio-humanitarian knowledge and artificial intelligence. Information technologies of intellectual decision support, 207-209.

16. Sitnikova, A. A. (2021). Theoretical, applied and synthetic methods of studying culture as a socio-anthropological system. Social anthropology of Siberia, 2 (2), 6-17. EDN ICEFEC.

17. Slyusarev, V. G. (2020). Problems of artificial intelligence in the humanities. Technology, science, management: personnel for the digital economy: proceedings of the conference, 173-177.

18. Yacenko, O. Yu. (2017). Problems of artificial intelligence in the humanities. Step into the future: Artificial Intelligence and Digital Economy: Proceedings of the First International Scientific and Practical Conference, 321-327.

19. Agnihotri, L. Dimitrova, N. (2015). Text Detection for Video Analysis. Third IAPR Asian Conference on Pattern Recognition, 1-5.

20. Boon-Lock, Y., Yeung, M. (2001). Extracting Story Units from Long Programs for Video Browsing and Navigation. Readings in multimedia computing and networking, 296 - 305.

21. Burghardt, M., Heftberger, A. et al. (2020). Film and Video Analysis in the Digital Humanities - An Interdisciplinary Dialog. Digital humanities quarterly, 1-18.

22. Cetinic, E., She, J. (2022). Understanding and Creating Art with AI: Review and Outlook. ACM Transactions on Multimedia Computing, Communications, and Applications, 2, 1-22.

23. Ewerth, R., Mühling, M. et al. (2009). Videana: A Software Toolkit for Scientific Film. Media/rep, 101-116.

24. Hatalova, D. (2020). Cinema in the Age of AI. SFU Undergraduate Research Symposium, 43-51.

25. Hebb, D. (1949). The Organization of Behavior: A Neuropsychological Theory. Psychology, 633-642.

26. Image Plot visualization software: explore patterns in large image collections. [Electronic source]: http://lab.softwarestudies.com/p/imageplot.html

27. Lewis, J. W., Valente, A. (2008). Tactical Language and Culture Training Systems: Using AI to Teach Foreign Languages and Cultures. Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, AAAI 2008, Chicago, Illinois, USA, July 13-17, 72-83.

28. McCarthy, J. (1960). Recursive Functions of Symbolic Expressions and Their Computation by Machine, Part I. Massachusetts Institute of Technology, 1-34.

29. Nowak, A., Lukowicz, P. et al. (2018). Assessing Artificial Intelligence for Humanity. Will AI be Our Biggest Ever Advance - or the Biggest Threat? Technology and Society, 4, 26-34.

30. Pustu-Iren, K. (2020). Automated Visual Content Analysis for Film Studies: Status and Challenges. Computer Science, 1-19.

31. Saur, D. D., Tan, Y.-P. et al. (1997). Automated analysis and annotation of basketball video. Digital Library, 77-83.

32. Suchan, J., Bhatt, M. (2016). Semantic question answering with video and eye-tracking data: AI foundations for human visual perception driven cognitive film studies. Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2633-2639.

33. Tadeo Fuica, B., Buisson, O. et al. (2021). Watching Historical Films Through AI: Reflections on Image Retrieval from Heritage Collections. Cinergie - Il Cinema E Le Altre Arti, 97-112.

34. Turing, A. M. (1950). Computing Machinery and Intelligence. Mind 49, 433-460.

35. Wyrobek, J. (2020). Application of machine learning models and artificial intelligence to analyze annual financial statements to identify companies with unfair corporate culture. Procedia Computer Science 176, 3037-3046.

36. Zhou, Y., Zhang, L. et al. (2019). Predicting movie box-office revenues using deep neural networks. Neural Computing and Applications, 35-41.