The introduction of Intelligent Tutoring Systems (ITS) into the educational sphere raises significant ethical challenges, particularly regarding algorithmic transparency. Many AI systems operate as “black boxes,” obscuring how decisions are made and leading to concerns about trust among users. This lack of clarity can exacerbate existing inequalities in access to educational resources. It is essential for universities to adopt comprehensive policies that promote transparency and accountability in the design and deployment of ITS. This includes regular analysis and review of the algorithms to prevent bias and discrimination. Furthermore, fostering a culture of openness around these technologies can help build trust among students and educators. Addressing these ethical challenges is vital to ensuring that ITS serve as equitable and accessible tools for all students, ultimately enhancing the educational experience and promoting fairness in academic achievement.
This is the focus of chapter 4!