Hello All,
I have decided to comment on Ben Shneiderman's interview with Professor Alyssa Goodman about Artificial intelligence (AI). The most memorable part of this interview was about the Google Flu Tracker. Google would see searches of people in given areas and try to predict if the flu would break out based on this data. However, as we heard in the interview, this ultimately did not work out, and they shut down the program. Predictions are very powerful when used correctly, but if your prediction fails, you could be misusing resources, leading to preventable deaths. This interview has caused me to think differently about my predictions and how to analyze them. Should I air on the safer or riskier side when analyzing my data? How could this data be flawed? What are the chances it is corrupt? These are questions I will ask myself when conducting such analyses.