Artificial Intelligence (AI) holds immense potential to profoundly reshape higher education across a multitude of dimensions; however, its implementation is met with several notable challenges within this sector. AI boasts a vast spectrum of applications in higher education, with the ability to revolutionize institutional operations and elevate the learning experience for students. Its influence on various aspects of society is already significant, though many may not fully realize the extent of AI’s presence. For instance, modern smartphones are often equipped with AI-driven engines that enhance performance, such as through facial recognition technology, allowing seamless access to devices. These AI systems can also detect the scene a camera is capturing and automatically adjust settings like exposure to improve image quality.

Beyond personal devices, AI’s use is expanding rapidly across industries like business, healthcare, gaming, legal systems (where it predicts recidivism based on individual profiles), self-driving vehicles, and even the development of autonomous weapons capable of independent action. Higher education, too, is increasingly shaped by AI, with ongoing discussions about its impact gaining momentum. Each year, innovative e-learning platforms incorporating AI emerge, attracting substantial financial investments and drawing many researchers into the AI field.

Yet, with every advancing technology, there come both opportunities and risks. Addressing the potential dangers associated with AI often requires considerable time, particularly as legislative responses to technological developments tend to lag behind.