حکمرانی هوش مصنوعی در دولت الکترونیک (چالش ها، فواید)
محورهای موضوعی : مدیریت
1 - استادیار گروه مهندسی صنایع ، واحد زنجان ، دانشگاه آزاد اسلامی ، زنجان ، ایران
کلید واژه: هوش مصنوعی, مدیریت منابع انسانی, دولت الکترونیک.,
چکیده مقاله :
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.
Despite the increasing growth in the field of artificial intelligence, many organizational managers have not yet been able to establish a good relationship with this technology. Getting your head around artificial intelligence, like any new technology that comes with a lot of hype and media controversy, can be confusing, and even experts in artificial intelligence can hardly keep up with the momentary developments of this technology. The present research tries to comprehensively examine behind the curtain the impact of this mysterious and powerful technology in the intelligentization of human resources management by means of thematic analysis. For this purpose, the findings of the latest studies conducted in the field of artificial intelligence, focusing on human resource management and the use of e-government, from international scientific-research publications were considered. After categorizing and coding the mentioned data, finally, the theoretical narrative of the research was compiled and presented. The mentioned findings were counted in five major codes, including the challenges facing artificial intelligence with nine components, professional ethics with seven components, electronic government system with six components, administrative system with seven components, and the intelligentization of governments with four components.
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