Future Horizons of History in the Digital Age in Light of AI Technologies and Their Legal Frameworks

Abstract

The contemporary world is witnessing a radical transformation in the structure of scientific knowledge as a result of the digital revolution that has affected various humanities disciplines, including history. History is moving from traditional paper archives to open virtual spaces, thus opening up new and promising future horizons that are simultaneously complex. Hence come the study of the research topic entitled (Future Prospects for History in the Digital Age in Light of Artificial Intelligence Technologies and their Legal Frameworks). Studying history in the digital age is of great importance to understanding the concept of digital history, its significance, and the challenges it faces. The research problem lies in the role that digitization and artificial intelligence contribute to shaping the future of history and what challenges they face. The research questions are: What is the concept of digital history? What is the role that digitization and artificial intelligence contribute to shaping the future of history? What are the challenges facing the future of history in light of the application of artificial intelligence technologies? As for the research objectives, the research aims to clarify the concept of digital history and its importance in documentation and analysis, and to anticipate the future of writing history with artificial intelligence. The research also identifies the most prominent technical and ethical challenges facing historians in the digital environment. Its significance lies in clarifying the dimensions of digital history and the role of artificial intelligence in developing its methodologies and approaches. It also helps in understanding digital challenges and provides a vision to guide future historical studies. The research methodology relies on a descriptive-analytical approach to describe the phenomenon of digital history and interpret its relationship with artificial intelligence technologies. The methodology aims to achieve accurate scientific results and an objective interpretation of the opportunities and challenges.