Problems of Social Hygiene, Public Health and History of MedicineProblems of Social Hygiene, Public Health and History of Medicine0869-866X2412-2106Joint-Stock Company Chicot212210.32687/0869-866X-2023-31-s2-1097-1103Научная статьяDIALOGUES WITH NEURAL NETWORKS ABOUT THE PRESENT AND FUTURE OF MEDICAL PROFESSIONS: RISKS AND PROSPECTSAksenovaE. I.BogdanI. V.0212202331\S21097110305082025Copyright © 1970,1970The article examines the risks to social perception of health professions in the context of the growing popularity of generative textual and visual neural networks. The article is consistent with the growing body of research that tends to see more risks of this technology, including for healthcare. The second focus of the article — the stereotypes about health professions — is critical, as they have been associated with negative outcomes for the healthcare system. The study primarily focuses on the perception of nursing professionals as most stereotyped by the public. Using uploads from the chatGPT, Kandinsky, and Shedevrum networks, the author has investigated the neural networks embedded perceptions of the nursing profession. Reproduction of certain stereotypes has been identified in all neural networks; the appearance stereotypes (gender, age, race, uniform) are more often shared by visual neural networks, while the function stereotypes (lack of autonomy, dependence on colleagues) — by text networks. Actually, we can assume the risks of a vicious circle, when the network is trained on the largely stereotypical data, and products based on its output increase the scale of stereotypical representations during subsequent training of the neural network. Developers efforts to avoid reproducing stereotypes are acknowledged, however, the uploads show that they are not fully successful. To prevent the spread of perceptual distortions in neural networks, it is recommended to promote their sociohumanistic evaluation. A «prompt-experiment» is proposed as a mechanism for identifying such risks.Midjourneymidjourney, neural networksmedical professionnurseperceptionСhatGPTнейросетимедицинская профессиямедицинская сестравосприятиеСhatGPT1.Морозов С. П., Владзимирский А. В., Ледихова Н. В. и др. Московский эксперимент по применению компьютерного зрения в лучевой диагностике: вовлеченность врачей-рентгенологов // Врач и информационные технологии. 2020. №4. С. 14—23.2.Sallam M. ChatGPT utility in healthcare education, research, and practice: systematic review on the promising perspectives and valid concerns // Healthcare. 2023. Vol. 11, N 6. P. 887.3.Shahriar S., Hayawi K. Let's have a chat! A conversation with ChatGPT: technology, applications, and limitations. Arxiv. 2023. V2.4.Lund B. D., Wang T., Mannuru N. R. et al. ChatGPT and a new academic reality: Artificial Intelligence — written research papers and the ethics of the large language models in scholarly publishing // Journal of the Association for Information Science and Technology. 2023. Vol. 74, N 5. P. 570—581.5.Алешковский И. А., Гребенюк А. А., Сидоров И. Н. Социальные риски и негативные последствия распространения технологий искусственного интеллекта // История. 2022. №4 (114). DOI: 10.18254/S207987840019849-26.Dwivedi Y. K., Kshetri N., Hughes L. et al. “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy // International Journal of Information Management. 2023. Vol. 71. P. 102642.7.Богдан И. В., Гурылина М. В. Четыре «больших» стереотипа о медицинских сестрах в массовом сознании: по материалам анализа сообщений москвичей в социальных медиа // Проблемы социальной гигиены, здравоохранения и истории медицины. 2019. Т. 27, Спецвыпуск. С. 552—558.8.Богдан И. В., Гурылина М. В. Медицинская сестра: образ профессии в массовом сознании // Народонаселение. 2019. №3. С. 102—115.9.Богдан И. В., Природова О. Ф., Фомина О. А., Чистякова Д. П. Восприятие медицинских сестер работниками здравоохранения: социологический взгляд на дискурс об автономии. Nomothetika: Философия. Социология. Право. 2022; 2: 180—189.10.Богдан И. В., Дренева А. А., Чистякова Д. П. Образ медицинского специалиста в социальных медиа глазами москвичей: управленческие и методические аспекты // Цифровая социология/Digital Sociology. 2022. Т. 5, №3. С. 57—67.11.Homolak J. Opportunities and risks of ChatGPT in medicine, science, and academic publishing: a modern Promethean dilemma // Croat. Med. J. 2023. Vol. 64, N 1. P. 1—3.