Earlier quoted context omitted.
In some ways couldn’t that be considered social engineering through ai? If the training set shows bias and this so does the algorithm, it’s a reflection of reality. Manually changing the algorithm to influence society on a grand scale is dystopian. It’s a dangerous path that sounds humanitarian but is really authoritarian.
The problem is that algorithms tend to amplify bias, rather than just reflect it. We’re constantly being told (implicitly or explicitly) that we should trust ML because computers are objective, but that ignores many of the most important variables in the training set. Google’s Deep Dream is a great way to visualize this. Given a source image that you repeatedly feed through an algorithm that attempts to parse and rec…
About the OP ignorance, well, statistics started off as a social science, so maybe self professed data scientists while looking into social sciences, ethics and psychology, could also look about history.