There seems to be a lot going on now in artificial intelligence. I wonder what kind of books or papers someone that is getting into it could read to get a better understanding of where artificial intelligence is coming from and where it is heading. Specially for folks that are not data scientists and not that much related to engineering. Look forward to your input.
This blog post outlines a very good roadmap for getting into ML/AI: https://hackernoon.com/absolute-beginning-into-machine-learning-e90ceda5a4bc
1. Choose a programming language (Python is the easiest and most popular)
2. Review Linear Algebra & Statistics
3. Review the main Python libraries you'll be using (Pandas, Numpy, Scikit Learn, Matplotlib)
4. Start doing online tutorials, I highly recommend the Data science specialization by the University of Washington on Coursera
These have been recommended to me for the purpose you outlined above: Life 3.0, Being Human in the Age of AI (Tegmark); The Master Algorithm (Domingos); Superintelligence (Bostrom). Would love to hear about other reads too.