The more important issue with ethics in AI is that there aren't that many people well-versed in both technology and philosophy (Throughout history many prominen

The more important issue with ethics in AI is that there aren't that many people well-versed in both technology and philosophy (Throughout history many prominent scientists and engineers also dabbled a lot in the humanities, but today it seems there aren't that much.) Therefore, on one side many people in the humanities greatly misunderstands and either fantasizes or fear-mongers AI up to ridiculous heights (sometimes venturing into science-fiction territory), or many scientists and the engineers think there is absolutely no problem in applying algorithms that can be comparable to phrenology [1] to society. But most importantly, it seems like there needs to be a fundamental advancement in philosophy (beyond the current state of modernism and postmodernism), if we really want to criticize the negative aspects of technocratic governance. Maybe here's an idea I had for a while: I think there is a deeper lineage to machine learning that nobody is talking about: optimization. (Hot take: isn't what we're all doing with deep learning just optimization to fit large datasets?) I think in order to actually create a meaningful discussion about today's AI, it is crucial to look back at the history of optimization (all the way back into the 30s Soviet, where they tried to use linear programming to their planned economy and failed [2].) I think there needs to be a philosophical framework capable of articulating the effects of optimization technology on our society, before we can go any further and tackle the issues with today's and tomorrow's AI. [1] https://en.wikipedia.org/wiki/Phrenology https://en.wikipedia.org/wiki/Phrenology [2] https://crookedtimber.org/2012/05/30/in-soviet-union-optimization-problem-solves-you/ https://crookedtimber.org/2012/05/30/in-soviet-union-optimiz...