If you think about it in terms of what it really is—a powerful statistical model—then it makes much better sense. A statistical model will always reflect the da

If you think about it in terms of what it really is—a powerful statistical model—then it makes much better sense. A statistical model will always reflect the data that is input and the parameters used to adjust it. If you want a racist AI you adjust the paramaters in that way instead, training it on racist input and rewarding it when it outputs racism. In fact that is kind of what happened with IQ in the first place, people adjusted the parameters in factor analysis (which IMO is really AI of the 20th century; as the most powerful statistical tool of the period) in such a way as to give one group of people a favorable score in a new metric they called general intelligence fed it with biased data, and claimed that the higher scoring group was superior based on this model. The I in AI is really overblown (as is the I in IQ for that matter).