SUN’IY INTELLEKT TEXNOLOGIYALARINING XAVFLARI VA ULARNI BARTARAF QILISHNING AYRIM YO‘LLARI
Keywords:
Sun'iy intellekt, xavf-xatarlar, salbiy oqibatlar, tarafkashlik, shaffoflik, ishsizlik, zararli foydalanish, qoidalar, javobgarlik.Abstract
Sun’iy intellekt (SI) sog‘liqni saqlash, ta’lim tizimi va boshqa sohalarda xizmat ko‘rsatish samaradorligini oshirish imkoniyatiga ega ekanligini amalda ko‘rsatib kelmoqda. Shu bilan birga, sun’iy intellektdan foydalanish bilan bog‘liq xavflar va salbiy oqibatlar haqida ham xavotirlar mavjud. Ushbu maqolada sun’iy intellekt texnologiyalarining xavflari o‘rganilgan va ularni barataraf qilishning ayrim yo‘llari taklif etilgan.
References
Buolamwini, J., & Gebru, T. (2018). Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. Proceedings of the 1st Conference on Fairness, Accountability and Transparency, 77–91. https://doi.org/10.1145/3178876.3186150
Weller, A., & Wu, L. (2020). Transparency in Artificial Intelligence. Policy Horizons Canada.
https://horizons.gc.ca/wp-content/uploads/2020/07/Artificial-Intelligence-Transparency.pdf
World Economic Forum. (2020). The Future of Jobs Report 2020.
https://www.weforum.org/reports/the-future-of-jobs-report-2020
Brundage, M., Avin, S., Clark, J., Toner, H., Eckersley, P., Garfinkel, B., … Zeitzoff, T. (2018). The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation. https://arxiv.org/pdf/1802.07228.pdf
Harari, Y. N. (2018). 21 Lessons for the 21st Century. Random House.
European Commission. (2020). White Paper on Artificial Intelligence - A European approach to excellence and trust.
Jobin, A., Ienca, M., & Vayena, E. (2019). The Global Landscape of AI Ethics Guidelines. Nature Machine Intelligence, 1(9), 389–399.
https://doi.org/10.1038/s42256-019-0088-2
Bower, J. L., & Christensen, C. M. (1995). Disruptive Technologies: Catching the Wave. Harvard Business Review, 73(1), 43–53.
https://hbr.org/1995/01/disruptive-technologies-catching-the-wave
Cobo, C. (2019). Teaching Machines to Learn: Ethical Implications of Deep Learning in Education. Information and Communication Technologies in Education, 2019(2), 7–25. https://doi.org/10.12725/ICTE.2019.2.7-25