Here is an excerpt from a recently published open-access article on AI and inequalities in education:

Algorithmic bias is one of the main causes of computing inequity [23, 32–34]. When using AI for educational activities, AI will automatically call its own algorithm for calculation. However, a fixed algorithm ioften applicable to certain occasions. This leads to inequity in using AI in education activities without considering its own calculation algorithm. 

Data basis is one of the most important inequities of using AI in education caused by AI itself [32, 35]. Usually, marvelous data was used in the AI tools. Unfortunately, AI cannot use all the data as some of them were private, which leads to inequity [23, 34– 37]. Some data cannot reflect the real history [33] or ignore the marginalized communities [38]. This also leads to inequity in using AI in education. In addition, one could be fraud by the data given by AI without serious thinking or professional knowledge [37]. 

Technological barrier is another important inequity of using AI in education. When we use AI in education, it will make autonomous decisions for our humans. It is quite unknown whether AI technologies’ abilities to make autonomous decisions are equitable for us [35]. For example, educational surveillance tools used in AI tools could reinforce systemic racism and discrimination and marginalize vulnerable groups [38]. 

Could AI go on strike? Of course, it would happen differently. This UNESCO article discusses the dilemmas facing schools and universities in the future.

https://www.unesco.org/en/articles/ai-and-future-education-disruptions-dilemmas-and-directions-0

While it is fine to speak about AI as a “co-professor” or as a “tutor”, professors and tutors will continue to get paid for as long as they are needed. We might imagine that AI is not getting paid even when we anthropomorphise it, but our taxes and reduced government services will suggest otherwise. From the 100 billion the UAE gave to France to establish data centres to the 100 billion the US Government assigned to AI, these billions are coming from budgets that will have to see cuts elsewhere. So, yes, in a sense AI is being paid no matter how odd the moniker “co-professor”. As a salaried employee, might it one day go on strike and what would this mean? Well, the strike might only be the result of the Luddites finally encouraging governments to invest elsewhere, such as in replacing leaking school prefabs or faulty labs. It might mean a temporary pause in the AI service, a temporary blackout. How then would educational inequalities be felt. It is likely they would be more pronounced; wealthier families that could send their kids to after-school human in-person cram schools or tutorials would likely fare better than kids who were relying on AI for everything. They would be lost in terms of knowing how to learn without AI. Having never had small group unassisted one-on-one education, they had relied on AI for everything. Now with it gone, or paused, they would be left floundering.