I think one of the key things I took from the Ben Shneiderman video is that not everything is A.I. Although this seems obvious, as Shneiderman points out, there’s often a linguistic issue when it comes to “A.I.” and what the general public thinks A.I. is. To use other things we’ve touched on in class, people tend to think that devices that use statistical or simulative algorithms for prediction must be some sort of A.I. This synthesization of all algorithmic machines as being A.I. adds to our dystopian fears of machine learning, and although this may not hinder the advancement of machine learning, a perpetual cycle of distrust of A.I. amongst the general public is created. Again, this idea is not inherently “new” information, but I think it’s something that could be talked about more even in spheres outside of technology. Doing so would both break this perpetual cycle and help people rethink the roles of machine learning in our daily lives.