KLINIK AMALIYOTDA “YASHIRIN SUN’IY INTELLEKT” (SHADOW AI): SHIFOKORLARNING UNDAN RUXSATSIZ FOYDALANISHINI NAZORAT QILISHNING HUQUQIY MEXANIZMLARI
Kalit so‘zlar:
sun’iy intellekt, yashirin sun’iy intellekt (Shadow AI), klinik amaliyot, SI-komplayens, shifokor siri, shaxsga doir ma’lumotlar, yuridik javobgarlik, tibbiyot huquqiAnnotatsiya
Maqolada klinik amaliyotda “yashirin sun’iy intellekt” (Shadow AI) fenomeni tadqiq etilgan. Bu tushuncha shifokorlarning tibbiyot tashkilotida belgilangan tartib-taomillar va protokollardan tashqari tekshirilmagan generativ sun’iy intellekt (SI) vositalaridan ruxsatsiz foydalanishini anglatadi. Asosiy e’tibor bunday foydalanishni nazorat qilishning huquqiy mexanizmlariga qaratilgan. Qiyosiy-huquqiy va formal-yuridik metodlar asosida shifokor siri va shaxsga doir ma’lumotlar to‘g‘risidagi qonunchilik talablarining buzilishi xavflari, bemorlar xavfsizligiga tahdidlar, shuningdek yuridik javobgarlikni belgilash va taqsimlash muammolari tahlil qilingan. Tibbiyot tashkilotlarida SI-komplayens bo‘yicha ichki siyosatni ishlab chiqish hamda tegishli talablarni O‘zbekiston Respublikasi qonunchiligida mustahkamlash zarurati asoslab berilgan.
Iqtiboslar
Cestonaro, C., Delicati, A., Marcante, B., Caenazzo, L., & Tozzo, P. (2023). Defining medical liability when artificial intelligence is applied on diagnostic algorithms: A systematic review. Frontiers in Medicine, 10, Article 1305756. https://doi.org/10.3389/fmed.2023.1305756
European Parliament & Council of the European Union. (2024). Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence (Artificial Intelligence Act). Official Journal of the European Union, L, 2024/1689. https://eur-lex.europa.eu/eli/reg/2024/1689/oj
Gibelli, F., Maio, G., & Ricci, G. (2024). Editorial: Healthcare in the age of sapient machines: Physician decision-making autonomy faced with artificial intelligence. Ethical, deontological and compensatory aspects. Frontiers in Medicine, 11, Article 1477371. https://doi.org/10.3389/fmed.2024.1477371
Iqbal, U., Tanweer, A., Rahmanti, A. R., Greenfield, D., Lee, L. T.-J., & Li, Y.-C. J. (2025). Impact of large language model (ChatGPT) in healthcare: An umbrella review and evidence synthesis. Journal of Biomedical Science, 32, Article 45. https://doi.org/10.1186/s12929-025-01131-z
Lawton, T., Morgan, P., Porter, Z., Hickey, S., Cunningham, A., Hughes, N., Iacovides, I., Jia, Y., Sharma, V., & Habli, I. (2024). Clinicians risk becoming ‘liability sinks’ for artificial intelligence. Future Healthcare Journal, 11(1), Article 100007. https://doi.org/10.1016/j.fhj.2024.100007
President of the Republic of Uzbekistan. (2020, October 5). On approval of the Strategy “Digital Uzbekistan – 2030” and measures for its effective implementation (Decree No. DP-6079). Lex.uz. https://lex.uz/docs/5031048
President of the Republic of Uzbekistan. (2021, February 17). On measures for creating conditions for the accelerated introduction of artificial intelligence technologies (Resolution No. RP-4996). Lex.uz. https://lex.uz/docs/5297051
President of the Republic of Uzbekistan. (2024, October 14). On the approval of the Strategy for the Development of Artificial Intelligence Technologies until 2030 (Resolution No. RP-358). Lex.uz. https://lex.uz/docs/7158606
Price, W. N., II, Gerke, S., & Cohen, I. G. (2024). Liability for use of artificial intelligence in medicine. In B. Solaiman & I. G. Cohen (Eds.), Research handbook on health, AI and the law (pp. 150–166). Edward Elgar Publishing. https://doi.org/10.4337/9781802205657.00016
Republic of Uzbekistan. (2019, July 2). On personal data (Law No. LRU-547). Lex.uz. https://lex.uz/docs/-4396428
Republic of Uzbekistan. (2026, January 21). On amendments and addenda to certain legislative acts of the Republic of Uzbekistan in connection with the regulation of relations arising from the use of artificial intelligence (Law No. LRU-1115). Lex.uz. https://lex.uz/ru/docs/8011930
Tian, S., Jin, Q., Yeganova, L., Lai, P.-T., Zhu, Q., Chen, X., Yang, Y., Chen, Q., Kim, W., Comeau, D. C., Islamaj, R., Kapoor, A., Gao, X., & Lu, Z. (2024). Opportunities and challenges for ChatGPT and large language models in biomedicine and health. Briefings in Bioinformatics, 25(1), bbad493. https://doi.org/10.1093/bib/bbad493
Wang, L., Wan, Z., Ni, C., Song, Q., Li, Y., Clayton, E., Malin, B., & Yin, Z. (2024). Applications and concerns of ChatGPT and other conversational large language models in health care: Systematic review. Journal of Medical Internet Research, 26, e22769. https://doi.org/10.2196/22769
Wolters Kluwer Health. (2026). Shadow AI: A hidden risk to healthcare. Wolters Kluwer. https://www.wolterskluwer.com/en/solutions/uptodate/ai-clinical-decision-support/shadow-ai-report?utm_source
World Health Organization. (2024). Ethics and governance of artificial intelligence for health: Guidance on large multi-modal models. World Health Organization. https://www.who.int/publications/i/item/9789240084759?utm_source
Zack, T., Lehman, E., Suzgun, M., Rodriguez, J. A., Celi, L. A., Gichoya, J., Jurafsky, D., Szolovits, P., Bates, D. W., Abdulnour, R. E., Butte, A. J., & Alsentzer, E. (2024). Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: A model evaluation study. The Lancet Digital Health, 6(1), e12–e22. https://doi.org/10.1016/S2589-7500(23)00225-X
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