JURISDICTION LIABILITY MODELLING FOR AI- DRIVEN TRADE SECRET MISAPPROPRIATION IN CROSS-BORDER POLICY INTEGRATION UNDER ISLAMIC LAW

Abstract

The rapid advancement of Artificial Intelligence (AI) in global commerce has created unprecedented opportunities and risks. Among the most pressing challenges is the misappropriation of trade secrets facilitated by AI systems operating across borders. Traditional legal frameworks struggle to allocate liability when machine learning algorithms extract, generate, or misuse confidential business information. This seminar explores jurisdiction liability modelling for AI-driven trade secret misappropriation in the context of cross-border policy integration, with an added emphasis on compliance with Islamic legal principles. The research proposes a hybrid framework that integrates conventional legal doctrines, international instruments, and the maqāṣid al-sharīʿa (higher objectives of Islamic law) to ensure fairness, accountability, and justice in global digital markets