پژوهش حاضر با استفاده از روش تحقیق آمیخته، با بررسی 25 سند ملی و بینالمللی رسمی منتشر شده در حوزه سیاستگذاری هوش مصنوعی در جهان و مصاحبه با خبرگان فعال در بخشهای مختلف زیستبوم هوش مصنوعی، به دنبال طراحی بسته سیاستی مناسب برای توسعه هوش مصنوعی در ایران بوده است. این پژوهش با بهرهگیری از روشهای تحلیل مضامین و مدل تصمیمگیری چندمعیاره فازی اقدام به کشف مهمترین اهداف سیاستی و اولویتبندی آنها و همچنین اولویتبندی ابزارهای سیاستی برای نیل به هر یک از این اهداف نموده است. نتایج نشان میدهد که مهمترین اهداف توسعه هوش مصنوعی در کشور به ترتیب اولویت، عبارتند از: رشد اقتصادی، ارتقای سرمایه انسانی، بهبود زیرساختها، افزایش رفاه و بهبود خدمات عمومی و ارتقای ظرفیتهای پژوهشی. همچنین مهمترین ابزارهای سیاستی برای نیل به اهداف سیاستی مورد بحث نیز، به ترتیب اولویت، 7 ابزار سیاستی مقرراتگذاری و تنظیمگری، تأمین مالی تحقیق و توسعه، فرهنگسازی و آموزش، شبکهسازی، تحریک تقاضای بازار، خرید دولتی و خدمات مشاورهای/ شتابدهی هستند.
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علینقیان, اشکان, صفدریرنجبر, مصطفی, & محمدی, مهدی. (1402). طراحی بسته سیاستی برای توسعه هوش مصنوعی در ایران. سیاستگذاری عمومی, 9(1), 22-46. doi: 10.22059/jppolicy.2023.92986
MLA
اشکان علینقیان; مصطفی صفدریرنجبر; مهدی محمدی. "طراحی بسته سیاستی برای توسعه هوش مصنوعی در ایران", سیاستگذاری عمومی, 9, 1, 1402, 22-46. doi: 10.22059/jppolicy.2023.92986
HARVARD
علینقیان, اشکان, صفدریرنجبر, مصطفی, محمدی, مهدی. (1402). 'طراحی بسته سیاستی برای توسعه هوش مصنوعی در ایران', سیاستگذاری عمومی, 9(1), pp. 22-46. doi: 10.22059/jppolicy.2023.92986
VANCOUVER
علینقیان, اشکان, صفدریرنجبر, مصطفی, محمدی, مهدی. طراحی بسته سیاستی برای توسعه هوش مصنوعی در ایران. سیاستگذاری عمومی, 1402; 9(1): 22-46. doi: 10.22059/jppolicy.2023.92986