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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Roshen, Seyed Aligholi, Yaghoubi, Noor Mohammad, Momeni, Amir Reza. (2010). Application of Artificial Intelligence in the Public Sector (A Meta-Synthesis Study). Quarterly Journal of the Iranian Management Sciences Association, 16(61), 117-145. https://journal.iams.ir/article_349.html
Zohri Bidgoli, Seyed Mohsen, Mohammadi Moghadam, Yousef, Jovari, Behnoush, Ghaibi, Parvaneh. (2010). The semantic system of discourse, its why and how in the wills of martyrs based on the theory of Laclau and Mouffe (Case study: the wills of martyrs of the Fars province police force). Quarterly Journal of Sacred Defense Studies, 6(4), 29-9. https://dorl.net/dor/20.1001.1.25883674.1399.6.4.1.6
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Futouhi Roudmoejni, Mahmoud. (2017). Research Article Writing Procedure, Tehran, Sokhan Publications, Third Edition, Sixteenth Edition.
Moghanlou, Amir Mohammad (2014), Factors Affecting the Implementation of Electronic Consultation on the Adoption of Electronic Procurement with the Mediating Role of Supervisory Policy in Zanjan Municipality, Master's Thesis, Islamic Azad University, Zanjan Branch, Supervisor: Seyyed Kamran Yegangi.
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
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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
Ramachandran, K. K., Mary, A. A. S., Hawladar, S., Asokk, D., Bhaskar, B., & Pitroda, J. R. (2022). Machine learning and role of artificial intelligence in optimizing work performance and employee behavior. Materials Today: Proceedings, 51, 2327-2331. http://dx.doi.org/10.1016/j.matpr.2021.11.544
Rožman, M., Tominc, P., & Milfelner, B. (2023). Maximizing employee engagement through artificial intelligent organizational culture in the context of leadership and training of employees: Testing linear and non-linear relationships. Cogent Business & Management, 10(2), 2248732. DOI%3A%2010.1080/23311975.2023.2248732
Rudko, I., Bashirpour Bonab, A., & Bellini, F. (2021). Organizational structure and artificial intelligence. Modeling the intraorganizational response to the ai contingency. Journal of Theoretical and Applied Electronic Commerce Research, 16(6), 2341-2364. https://doi.org/10.3390/jtaer16060129
Ryan, M. (2020). In AI we trust: ethics, artificial intelligence, and reliability. Science and Engineering Ethics, 26(5), 2749-2767. https://doi.org/10.1007/s11948-020-00228-y
Said, G., Azamat, K., Ravshan, S., & Bokhadir, A. (2023). Adapting Legal Systems to the Development of Artificial Intelligence: Solving the Global Problem of AI in Judicial Processes. International Journal of Cyber Law, 1(4). https://doi.org/10.59022/ijcl.49
Saura, J. R., Ribeiro-Soriano, D., & Palacios-Marqués, D. (2022). Assessing behavioral data science privacy issues in government artificial intelligence deployment. Government Information Quarterly, 39(4), 101679. https://doi.org/10.1016/j.giq.2022.101679
Saxena, N., & Khandelwal, A. R. (2022). Effectiveness of E‐HRM Tools Using the Functionalities of Artificial Intelligence During Remote Working in Lockdown Period. Impact
of Artificial Intelligence on Organizational Transformation, 387-397. http://dx.doi.org/10.1002/9781119710301.ch22
Scolari, P. (2023). Death of God, nihilism, human existence. Gabriel Marcel and Friedrich Nietzsche. REVISTA DIALECTUS, 28(1), 203-221. http://dx.doi.org/10.30611/2023n28id86630
Shaikh, F., Afshan, G., Anwar, R. S., Abbas, Z., & Chana, K. A. (2023). Analyzing the impact of artificial intelligence on employee productivity: the mediating effect of knowledge sharing and well‐being. Asia Pacific Journal of Human Resources, 61(4), 794-820. DOI:10.1111/1744-7941.12385
Shaukat, K., Iqbal, F., Alam, T. M., Aujla, G. K., Devnath, L., Khan, A. G., & Rubab, A. (2020). The impact of artificial intelligence and robotics on the future employment opportunities. Trends in Computer Science and Information Technology, 5(1), 050-054. https://doi.org/10.17352/tcsit.000022
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