The rapid integration of artificial intelligence (AI) in all domains of society is reshaping the academic landscape, calling for a change in curriculum design and delivery. This systematic review investigates how the educational system is changing to adapt its curriculum to align with the opportunities and challenges created by AI technologies. The four primary theoretical frameworks include Constructivist Learning Theory, Technological Pedagogical Content Knowledge (TPACK), Digital Capital Theory, and the 21st-Century Skills Framework in the framework of AI education teaching, technical and equity dimensions. The results show that when AI promises personal education, administrative performance, and modern teaching methods, there are important gaps in curriculum education, the preparation of teachers, and moral integration. In combination with current global literature, this study provides valuable insights for teachers, policymakers, and curriculum designers in the AI-powered world.

As with all other spheres, including the area of healthcare and economics, artificial intelligence is proving yet another disruptor to social sciences. We discuss the problem of the changing role of social science disciplines in the world of AI dominance in this blog. The post goes into detail as to indicate where the future might take social scientists in a world surrounded by intelligent machines in areas involving changing research approaches, ethics and new methods of data analysis.

The framing of Artificial Intelligence (AI) in media discourses affects society's perceptions of AI and its adoption. This research explores the positive narratives of Artificial Intelligence through the lens of framing theory and Positive Discourse Analysis (PDA). This research draws on 15 newspaper articles published on platforms including The News, The Week, and BBC to identify the linguistic and discursive strategies employed to present AI in a positive light. By combining theoretical insights from framing theory and PDA, the study illustrates how media narratives help in creating empowering and inclusive representations of AI. The findings offer important lessons for academics, policymakers, and people in the media and underscore the value of constructive media discourse in determining how society views potential future technologies.

This paper examines the evolving framework of domestic Artificial Intelligence (AI) governance in the United States and its implications for national security and global stability. As AI technologies advance rapidly, the U.S. faces increasing pressure to balance innovation, ethical regulation, and security imperatives. The study explores key policy mechanisms, institutional responses, and strategic initiatives shaping AI governance, including federal oversight, private-sector collaboration, and defense applications. It also assesses how domestic governance decisions influence international norms, competition, and cooperation in AI development. Through a multidisciplinary analysis combining policy review and security studies, the paper highlights the dual challenge of maintaining U.S. technological leadership while mitigating geopolitical risks and ethical concerns. The findings underscore the need for a coherent AI governance strategy that safeguards national interests, promotes responsible innovation, and supports a stable international AI order.