Artificial intelligence (AI) is rapidly transforming higher education, promising personalized learning, administrative efficiency, automated evaluations, and revamping research methodology. However, this transformative potential is intertwined with regulatory and ethical concerns about bias, algorithmic discrimination, data privacy, the potential for human displacement, the erosion of human interaction, and the atrophy of human intellect. To that end, responsible governance is crucial to guarantee that AI serves as a force for good, helps students, faculty, and institutions thrive in the digital age, and does not compromise academic integrity. Challenges abound at various levels: students face potential bias in algorithms used for grading, admissions, and resource allocation; classrooms grapple with impersonalized learning environments, the potential loss of face-to-face interactions, and the dire risk of intellectual stagnation; institutions struggle with transparency, reliability, and accountability regarding AI implementation; and the state and private sector require clear guidelines to address data privacy, algorithmic bias, and workforce impact. Whereas a silver-bullet resolution may not be possible, collaborative efforts among the key players are crucial to prevent a fragmented approach and devise creative solutions. These efforts would establish (1) a human-centered AI design, where AI is a tool augmenting human intelligence not eroding it; (2) inclusive data practices, including data anonymization, bias audits, diverse data collection methods, and transparency in data collection and usage; (3) clear ethical frameworks that address issues of bias, fairness, privacy, honesty, and accountability; and (4) collaborative governance between institutions, governments, and technology companies to develop and implement effective regulatory frameworks. This requires investment in education and training that equips stakeholders to approach the AI evolution responsibly. Therefore, charting a dependable course with robust governance, ethical implementation, and a commitment to continual learning and adaptation is a must to build a future where AI enhances the learning experience, promotes equitable access, and helps individuals reach their full potential.