This study explores the ethical implications of integrating artificial intelligence (AI) into higher education (HE), focusing on the responsible use of AI technologies. Using a mixed-methods approach, the research combines scientometric analysis with qualitative content analysis to examine current trends and critical discourse on AI in HE. The study identifies key research areas through citation bursts, keyword co-occurrence, and thematic clusters, highlighting the need for ethical frameworks and policy development, academic integrity, and student interaction with AI. The findings emphasize the dual perspectives on AI's role in education, balancing its transformative potential with the challenges it poses to academic integrity and ethical standards. The study concludes with a conceptual model for ethical AI integration in HE, emphasizing the importance of vigilant governance, ethical guidelines, AI literacy, and human-centered AI tools. The implications extend to policymakers, educators, and AI developers, underscoring the need for a comprehensive approach to ensure responsible AI usage in educational settings.This study explores the ethical implications of integrating artificial intelligence (AI) into higher education (HE), focusing on the responsible use of AI technologies. Using a mixed-methods approach, the research combines scientometric analysis with qualitative content analysis to examine current trends and critical discourse on AI in HE. The study identifies key research areas through citation bursts, keyword co-occurrence, and thematic clusters, highlighting the need for ethical frameworks and policy development, academic integrity, and student interaction with AI. The findings emphasize the dual perspectives on AI's role in education, balancing its transformative potential with the challenges it poses to academic integrity and ethical standards. The study concludes with a conceptual model for ethical AI integration in HE, emphasizing the importance of vigilant governance, ethical guidelines, AI literacy, and human-centered AI tools. The implications extend to policymakers, educators, and AI developers, underscoring the need for a comprehensive approach to ensure responsible AI usage in educational settings.