International Research Journal of Education and Technology

Our definition of causality refers to the degree to which humans may comprehend a particular machine explanation. With the use of a real-world cancer research case, we demonstrate causality. We argue for the use of causality in the design and assessment of future human-AI interfaces in the field of medical artificial intelligence (AI). Since this field's inception, the goal has been to develop artificial intelligence (AI) that is on par with human intelligence. Big data and the necessary processing capacity have now made statistical machine learning, especially deep learning, quite advanced, even in fields as complex as medicine. One such example is the Stanford machine learning group's research on dermatology1, which gained popularity in Europe under the slogan "AI is better than doctors.