حکمرانی هوش مصنوعی در دولت الکترونیک (چالش ها، فواید)
الموضوعات :
1 - استادیار گروه مهندسی صنایع ، واحد زنجان ، دانشگاه آزاد اسلامی ، زنجان ، ایران
الکلمات المفتاحية: هوش مصنوعی, مدیریت منابع انسانی, دولت الکترونیک.,
ملخص المقالة :
علی رغم رشد روز افزون در حوزه هوش مصنوعی، بسیاری از مدیران سازمانی هنوز نتوانسته‌اند ارتباط خوبی با این فناوری برقرار کنند. سر در آوردن از هوش مصنوعی هم مثل هر تکنولوژی جدید دیگر که با کلی هیاهو و جنجال رسانه‌ای همراه است، ممکن است گیج‌کننده باشد و حتی متخصصان هوش مصنوعی هم به‌سختی می‌توانند خود را با تحولات لحظه‌ای این فناوری همراه کنند. تحقیق حاضر سعی بر آن دارد تا به روش تحلیل مضمون به بررسی جامعی از پشت پرده‌ی تاثیر این فناوری مرموز و قدرتمند در هوشمند سازی مدیریت منابع انسانی بپردازد. بدین منظور یافته های جدیدترین مطالعات انجام شده در حوزه ی هوش مصنوعی با محوریت مدیریت منابع انسانی و کاربری دولت الکترونیک، از نشریات معتبر علمی- پژوهشی بین المللی مد نظر قرار گرفتند. پس از دسته بندی و کدگذاری داده های مذکور در نهایت روایت نظری تحقیق تدوین وارائه گرید. یافته های مذکور در پنج کد کلان شامل چالش های پیش روی هوش مصنوعی با نه مولفه، اخلاق حرفه ای با هفت مولفه ، نظام دولت الکترونیک با شش مولفه، نظام اداری با هفت مولفه، هوشمندسازی دولت ها با چهار مولفه احصا گردیدند.
المصادر:
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• جووری, بهنوش, محمدی مقدم, یوسف. (1400). نشاط و راهبردهای جاری سازی آن در دانشگاه ها. اندیشه های نوین تربیتی, 17(1), 245-271. Doi: 10.22051/JONTOE.2021.26926.2723
• روشن, سید علیقلی, یعقوبی, نورمحمد, مومنی, امیررضا. (1400). کاربست هوش مصنوعی در بخش دولتی (مطالعه ای فرا ترکیب). فصلنامه انجمن علوم مدیریت ایران, 16(61), 117-145. https://journal.iams.ir/article_349.html
• زهری بیدگلی, سید محسن, محمدی مقدم, یوسف, جووری, بهنوش, غیبی, پروانه. (1399). نظام معنایی گفتمان، چرایی و چگونگی آن در وصایای شهدا بر اساس نظریۀ لاکلا و موف (مورد مطالعه: وصایای شهدای نیروی انتظامی استان فارس). فصلنامه علمی مطالعات دفاع مقدس, 6(4), 29-9. https://dorl.net/dor/20.1001.1.25883674.1399.6.4.1.6
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• فتوحی رودمعجنی، محمود.(1396). آیین نگارش مقالة پژوهشی، تهران، انتشارات سخن، ویرایش سوم، چاپ شانزدهم.
• مغانلو، امیرمحمد(1402)، عوامل تأثیرگذار بر پیاده سازی مشاوره الکترونیکی بر اتخاذ تدارکات الکترونیکی با نقش میانجی سیاست نظارتی در شهرداری زنجان، پایان نامه کارشناسی ارشددانشگاه آزاد اسلامی واحد زنجان، استاد راهنما سید کامران یگانگی.
Ahmad, K., Abdelrazek, M., Arora, C., Bano, M., & Grundy, J. (2023). Requirements engineering for artificial intelligence systems: A systematic mapping study. Information and Software Technology, 107176. https://doi.org/10.1016/j.infsof.2023.107176
Akour, I., Alzyoud, M., Alquqa, E., Tariq, E., Alzboun, N., Al-Hawary, S & Alshurideh, M. (2024). Artificial intelligence and financial decisions: Empirical evidence from developing economies.International Journal of Data and Network Science, 8(1), 101-108. http://dx.doi.org/10.5267/j.ijdns.2023.10.013
Al-Besher, A., Kumar, K. (2022): Use of artificial intelligence to enhance e-government services. Meas. Sens. 24, 100484. https://www.sciencedirect.com/science/article/pii/S2665917422001180
Aleem, M., Sufyan, M., Ameer, I., & Mustak, M. (2023). Remote work and the COVID-19 pandemic: An artificial intelligence-based topic modeling and a future agenda. Journal of business research, 154, 113303. https://doi.org/10.1016/j.jbusres.2022.113303
BAKKAL, A. K., & ALİMEN, N. (2023) .Modernization by Translation, Modernization in Translation: From Hace-i Evvel to Bot Poet–An INTRA Case. transLogos Translation Studies Journal, 5(2), 134-158. https://doi.org/10.29228/transLogos.51
Buzko, I., Dyachenko, Y., Petrova, M., Nenkov, N., Tuleninova, D., & Koeva, K. (2016). Artificial Intelligence technologies in human resource development. Computer modelling and new technologies, 20(2), 26-29. https://www.researchgate.net/publication/308031679_Artificial_Intelligence_technologies_in_human_resource_development
Chen, P. Y., & Das, P. (2023). AI Maintenance: A Robustness Perspective. Computer, 56(2), 48-56. http://dx.doi.org/10.1109/MC.2022.3218005
Cheng, W., Li, G., & Liu, S. (2020). Enlightenment of Human-Machine Cooperation on Human Resource Management in the Era of Artificial Intelligence. http://dx.doi.org/10.12677/MM.2020.101015
Debrah, C., Chan, A. P., & Darko, A. (2022). Artificial intelligence in green building. Automation in Construction, 137, 104192. https://doi.org/10.1016/j.autcon.2022.104192
Desouza, K. C. (2021). IBM Center for The Business of Government Artificial Intelligence in the Public Sector: A Maturity Model. www.businessofgovernment.org.
Gartner, S., & Krašna, M. (2023). Artificial intelligence in education-ethical framework. In 2023 12th Mediterranean Conference on Embedded Computing (MECO) (pp. 1-7). IEEE. https://doi.org/10.1109/MECO58584.2023.10155012
Giudici, P., Centurelli, M., & Turchetta, S. (2024). Artificial Intelligence risk measurement. Expert Systems with Applications, 235, 121220. https://doi.org/10.1016/j.eswa.2023.121220
Grzybowski, A., Jin, K., & Wu, H. (2024). Challenges of artificial intelligence in medicine and dermatology. Clinics in Dermatology. https://doi.org/10.1016/j.clindermatol.2023.12.013
Habbal, A., Ali, M. K., & Abuzaraida, M. A. (2024). Artificial Intelligence Trust, Risk and Security Management (AI TRiSM): Frameworks, applications, challenges and future research directions. Expert Systems with Applications, 240, 122442. https://doi.org/10.1016/j.eswa.2023.122442
Jarrahi, M. H., Askay, D., Eshraghi, A., & Smith, P. (2023). Artificial intelligence and knowledge management: A partnership between human and AI. Business Horizons, 66(1), 87-99. https://doi.org/10.1016/j.bushor.2022.03.002
Jia, Q., Guo, Y., Li, R., Li, Y., & Chen, Y. (2018). A conceptual artificial intelligence application framework in human resource management. https://aisel.aisnet.org/iceb2018/91
Joyce, D. W., Kormilitzin, A., Smith, K. A., & Cipriani, A. (2023). Explainable artificial intelligence for mental health through transparency and interpretability for understandability. npj Digital Medicine, 6(1), 6. https://doi.org/10.1038/s41746-023-00751-9
Kalkman, M. L. (2023). Theosemiosis: An essay on consilience and the perennial philosophy. Sign Systems Studies, 51(2), 398-432. https://doi.org/10.12697/SSS.2023.51.2.10
Kiyasseh, D., Laca, J., Haque, T. F., Miles, B. J., Wagner, C., Donoho, D. A., & Hung, A. J. (2023). A multi-institutional study using artificial intelligence to provide reliable and fair feedback to surgeons. Communications Medicine, 3(1), 42. https://doi.org/10.1038/s43856-023-00263-3
Kraske, B. D., Saksena, A., Buczak, A. L., & Sunberg, Z. N. (2023). Explanation through Reward Model Reconciliation using POMDP Tree Search. arXiv preprint arXiv:2305.00931. https://doi.org/10.48550/arXiv.2305.00931
Laux, J., Wachter, S., & Mittelstadt, B. (2024). Trustworthy artificial intelligence and the European Union AI act: On the conflation of trustworthiness and acceptability of risk. Regulation & Governance, 18(1), 3-32. https://doi.org/10.1111/rego.12512
Lo, M. (2023). Skepticism’s Pictures: Figuring Descartes’s Natural Philosophy. Penn State Press. https://www.amazon.com/Skepticisms-Pictures-Figuring-Descartess-Philosophy/dp/0271094826
Medaglia, R., Gil-Garcia, J. R., & Pardo, T. A. (2023). Artificial intelligence in government: Taking stock and moving forward. Social Science Computer Review, 41(1), 123-140. https://doi.org/10.1177/08944393211034087
Ndubisi, E. J. (2023). AGAINST HUME’S METAPHYSICAL NIHILISM. Journal of African Studies and Sustainable Development. https://acjol.org/index.php/jassd/article/view/3686
Neri, H., & Cozman, F. (2020). The role of experts in the public perception of risk of artificial intelligence. AI & SOCIETY, 35, 663-673. https://doi.org/10.1007/s00146-019-00924-9
Oladoyinbo, T. O., Olabanji, S. O., Olaniyi, O. O., Adebiyi, O. O., Okunleye, O. J., & Alao, A. I. (2024). Exploring the challenges of artificial intelligence in data integrity and its
influence on social dynamics. Asian Journal of Advanced Research and Reports, 18(2), 1-23. http://dx.doi.org/10.9734/AJARR/2024/v18i2601
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