تشير الدراسة إلى أن التطور السريع في تقنيات الذكاء الاصطناعي أحدث تحولًا جذريًا في المشهد الأمني العربي، حيث باتت هذه التقنيات تُستخدم كسلاح مزدوج: فهي تمكّن التنظيمات الإجرامية من تنفيذ عمليات احتيال وهجمات رقمية متقدمة عبر التزييف العميق واستنساخ الأصوات، وفي الوقت ذاته تمنح الأجهزة الأمنية قدرات أكبر في التحليل والتنبؤ وفحص الأدلة الرقمية، وتكشف الدراسة أن ضعف تمثيل اللغة العربية في قواعد بيانات التزييف العميق يجعل المنطقة أكثر عرضة لعمليات الاحتيال الصوتي الموجهة. ولمعالجة هذا الخلل، طورت الدراسة نموذجًا عربيًا يعتمد على RawNet2، مدرّبًا على أكثر من 44 ألف عينة صوتية، وحقق دقة عالية بلغت 99.25% في كشف التزييف، ما يمثل خطوة مهمة لبناء أدوات سيادية عربية في مجال الأمن الرقمي.
وتطرح الدراسة خارطة طريق رباعية الأبعاد لمواجهة المخاطر المستقبلية:
تشريعيًا: الدعوة لقانون عربي موحد للذكاء الاصطناعي قائم على منهجية تقييم المخاطر وتحديث قوانين الأدلة الرقمية وتجريم المحتوى الاصطناعي الخبيث.
مؤسسيًا: إنشاء مراكز وطنية للتحقق من الوسائط ومرصد عربي لتتبع تهديدات الذكاء الاصطناعي.
تقنيًا: الاستثمار في الذكاء الاصطناعي الدفاعي وتطوير أدوات عربية للكشف عن التزييف وتعزيز توثيق المحتوى الرسمي بالعلامات المائية الرقمية.
مجتمعيًا: رفع الحصانة الرقمية للمواطن وإلزام المنصات بوسم المحتوى الاصطناعي.
وتخلص الدراسة إلى أن مواجهة الجريمة المعززة بالذكاء الاصطناعي تتطلب منظومة حوكمة متكاملة تجمع بين الابتكار وحماية الأمن، عبر تعاون وثيق بين الحكومات والقطاع الخاص والمؤسسات البحثية لضمان مستقبل رقمي آمن للدول العربية.
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