In the interview with Ben Shneiderman, a student asks how we’d be able to distinguish a human from a highly capable machine if said machines would one day be able to near perfectly mimic human behavior. In response, Shneiderman brings up how predictive machines are simply tools to enhance how humans live, and that the goal should not be for them to mimic our behavior. However, going off of this statement, I’d ask what predictive A.I. and algorithms are doing when they make predictions. From my perspective (and to be fair, I know practically nothing about machine learning), these devices are using input data to attempt to mimic how humans make predictions or reason how nature may behave. But by Shneiderman’s terms, they are doing something else. Perhaps I missed it, but what it is that these machines ARE doing, I’d simply like to know :)
We’d all like to know! (What the machines are doing, exactly...)