A software that automatizes the diagnosis of diseases of patients is created. It works by sharing the information of a patient’s pathology to other users as to track the spread of diseases. The software is available in most Western and Asian languages. 

The success of the software is immediate; however, the software has little success in Africa.  

In fact, Africa is faced with more challenges in accessing to AI technologies than others. The first problem is that more than 2000 languages are spoken on the continent and fluency in Western languages is not always guaranteed. Also, coming from African countries the researchers have to apply for VISAS before travelling. Yet, some of them have their demand refused and therefore cannot travel to the countries where conferences take place. This has direct consequence on the development of AI as it is crucial to have diverse opinions and imputes on the evolution of AI and guide it in the right path.

More visas are given to African researches and some African hospitals and practitioners manage to access the software but with little effect.

 When an AI system proves to be efficient and game changer for society, it is important to give access to it as much as possible. This begins by giving access to researches to the resources need, including attending conferences and working with others. Furth more, when the aim of the technology is to be widespread, all the specifics of the continents and countries, such as languages, finance and accessibility have to anticipated.