The implementation of AI has an impact on the educational sector and raises many ethical issues related to its appropriate use in higher education. First of all, there are various types of technologies used in the process of studying that assist people with writing papers, conducting research, finding solutions for problems or completing other tasks. It also becomes necessary to discuss several ethical issues associated with the use of AI in the sphere of education.


There is a problem connected with the notion of cheating. In fact, it would be incorrect to discuss the problem associated with cheating as there is a need to determine whether students gain new competencies in the process of using AI. It is possible to note that using AI might lead to the weakening of the outcomes of studies despite the fact that the academic performance might be quite high.


The question of equity should be addressed. Not all students have the same access to AI; it might be possible to say that wealthier students can take advantage of the opportunities offered by such technologies. There is an obvious issue of social inequality in higher education because of the lack of equal access to such technologies.


It is necessary to talk about the ethical implications related to the potential existence of biases in the algorithms developed by people. Such biases are caused by the data on which AI relies on in order to make conclusions. The result of this process might be quite biased, which leads to a situation where some people are evaluated in the wrong way.


Apart from numerous ethical issues related to the problem under discussion, there are also some ethical opportunities for deeper explanations, help with brainstorming, and faster processing that AI can help with.