This chapter reports an analysis of faculty’s perceptions about the integration of artificial intelligence (AI) into scientific research at the University of Petra, with different disciplines in mind. The research examined AI adoption within academia through a cross-sectional survey of 105 academic professionals, with emphasis on a number of facets of AI adoption relating to its contribution to knowledge development, impact on research skills, and ethical implications. A structured questionnaire using three-point Likert scales was distributed to evaluate eight key aspects of AI integration. Strong support emerged for AI’s contribution to knowledge development (80%) and research-skills improvement (81%), the least favored being communication-skills improvement (70.5%). Among the notable findings were balanced perspectives, with respect to ethical issues (32.4% agreement, 37.1% neutral, 30.5% disagreement), and moderate support (56.2%) for AI integration into traditional research contexts. Critical challenges were identified in intellectual property rights (61% agreement) and AI authorship attribution (43.8% agreement). These results have important implications for the institutional development of policy, faculty support systems, and research practices more generally. The research provides an understanding of the complex landscape regarding AI integration into academic research, including the necessity for comprehensive frameworks to guide its implementation, assuming that the research is conducted with integrity and in accordance with academic standards.