The Basis of Civil Liability for Damages Caused by Artificial Intelligence in Light of General Legal Theory: Comparative Study.

The progressive incorporation of artificial intelligence (AI) into information and communication technologies (ICT) has significantly reshaped contemporary social and professional life. In the current digital environment, computers, internet infrastructures, and AI-driven systems are extensively dep...

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Publicado en:Journal of Human Security (Librello Publishing House) Vol. 21; no. 2; pp. 14 - 19
Autores principales: Alhiniti, Yasar, Sadrati, Hanae, Almakhzoumi, Omar, Alsarhan, Majed Falah, Aljahdali, Hani
Formato: Artículo
Publicado: Librello Publishing House 2025
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: The Basis of Civil Liability for Damages Caused by Artificial Intelligence in Light of General Legal Theory: Comparative Study.
      aug:
        au:
          Alhiniti, Yasar
          Sadrati, Hanae
          Almakhzoumi, Omar
          Alsarhan, Majed Falah
          Aljahdali, Hani
        affil:
          Faculty of Law-Zarqa University, Zarqa, jordan
          Faculty of Law-University of Sidi Mohamed Ben Abdellah - Morocco
          College of Law, University of Business & Technology, Jeddah, Saudi Arabia
      su:
        Morocco
        Civil liability
        Artificial intelligence
        Computer crimes
        Jurisprudence
        Comparative law
        International cooperation
        Information & communication technologies
      sug:
        subj:
          Civil liability
          Artificial intelligence
          Computer crimes
          Jurisprudence
          Comparative law
          International cooperation
          Information & communication technologies
          Morocco
      keyword:
        Artificial Intelligence
        Civil Liability
        Contractual Fault
        Legal Theory
        Objective Liability
        Tort Law
        Artificial Intelligence
        Civil Liability
        Contractual Fault
        Legal Theory
        Objective Liability
        Tort Law
      ab: The progressive incorporation of artificial intelligence (AI) into information and communication technologies (ICT) has significantly reshaped contemporary social and professional life. In the current digital environment, computers, internet infrastructures, and AI-driven systems are extensively deployed across multiple sectors. However, alongside the accelerated expansion of AI and information technologies, cybercrime has become an increasingly prominent phenomenon, posing serious risks to the privacy and security of individuals, communities, institutions, and states. Despite its substantial advantages, AI has generated considerable legal and regulatory challenges, particularly in relation to cybercrime and civil liability. This study explores the function of AI within ICT and analyses the ways in which technological advancement contributes to cyber-related threats. It further examines the conceptual foundations of civil liability and assesses how responsibility for harm caused by AI systems is addressed within Moroccan, British, and French legal frameworks. Through a comparative approach, the research evaluates traditional, contractual, and objective civil liability models as they apply to AI-induced damage. Particular attention is given to the Moroccan Civil Obligations Code (MOCC), which establishes the basis for liability, and its comparison with corresponding provisions in British and French law, highlighting their principal strengths and legal implications. The findings indicate that existing civil liability regimes remain capable of offering lawful and equitable compensation mechanisms when adapted to the complex characteristics of AI technologies. The study ultimately underscores the pressing need for Morocco to align its legislative framework with international cooperation initiatives and comparative legal models in order to effectively address the emerging challenges associated with artificial intelligence.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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