MEC Seminar: Unconscious bias and Artificial Intelligence

AI learns from existing datasets and then replicates knowledge from those in its responses. This means it is drawing on data likely to have bias already built into it. How can we teach AI to be inclusive so that it doesn't further entrench bias and inequity of opportunity in music education? How can we prevent our own unconscious bias from becoming welded into the datasets AI is using?