الحماية القانونية من مخاطر أدوات الذكاء الاصطناعي المستخدمة في تصفية المحتويات المرئية عبر شبكة الانترنت | Legal Protection Against Risks of Artificial Intelligence Tools Used in Filtering Visual Content on the Internet

نوع المستند : المقالة الأصلية

المؤلف

كلية إدارة الاعمال - جامعة تبوك

المستخلص

تقدم تكنولوجيا الذكاء الاصطناعي المستخدمة في تصفية المحتوي المرئي المعروض علي منصات العرض الرقمي خدمات كبيرة في تصفية المحتويات وفهرستها وترشيحها بما يعزز دورها التنافسي وتنظيم محتواها، كما أنها تنطوي على عدد من المخاطر أيضاً، منها إمكانية التسبب في أضرار مباشرة لمستخدمي منصات عرض المحتوي المرئي عبر شبكات الانترنت، حيث يثير استخدام تكنولوجيا الذكاء الاصطناعي كأداة لتصفية المحتوي في الأنظمة الأساسية لهذه المنصات تساؤلات قانونية حول نظام المسؤولية المتبع في الحالات التي تقع فيها أضرار بسبب أنشطة تصفية المحتوي، وذلك بسبب النقص التشريعي في القواعد القانونية المنظمة لاستخدام تكنولوجيا الذكاء الاصطناعي وكون أغلب القواعد القانونية ذات العلاقة قيد التطوير، أو غير موجودة، في حين أن مستخدمي هذه المنصات في ازدياد مستمر.
وتقترح الدراسة تبني نظام مسئولية يحقق التوازن بين مالكي أو مشغلي أو مطوري هذه المنصات ومستخدميها بحيث تنشأ مسئولية الطرف الأقوى بمجرد وقوع الضرر، باعتبار أن هذا النوع من المسئولية أكثر مناسبة للظروف المحيطة بتوظيف أدوات الذكاء الاصطناعي في تصفية وترشيح المحتوي المرئي في منصات العرض الرقمي عبر شبكات الانترنت.
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Artificial intelligence technology used for filtering visual content on digital display platforms provides valuable services in content filtering, indexing, and organization, thereby enhancing its competitive edge. However, the use of AI technology in content filtering on the internet raises legal questions about liability in cases where damages occur. This is due to the lack of legal rules regulating the use of AI technology and the fact that most relevant laws are either still in development or non-existent, while the number of platform users continues to grow.
To address this, the study suggests adopting a liability system that strikes a balance between platform owners, operators, or developers and their users, such that the stronger party assumes responsibility when damage occurs. This type of liability is more suitable for situations involving the use of AI tools in visual content filtering on digital display platforms via the internet.

الكلمات الرئيسية

المراجع

قائمة المراجع:
أولا: المراجع العربية:
-     د. محي الدين سليم –نطاق الضرر المرتد –بدون دار نشر – القاهرة – 2009م.
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