The way we define the data we measure can completely change the results that we get.
How smart are smart watches? How meaningful is their health tracking? Have we been fooled by another shiny toy?
I think this is the real danger of AI - that we want to believe. Chatbots are so plausible they draw us in, even when we should know better. They give confident, and completely wrong answers, in a way that we are all too happy to accept. They seem to have generated a veneer of respectability and credibility which is wholly unearned.
21 guests and one year later, Make Me Data Literate is breaking new ground. Don't be afraid of data. It can be an extraordinarily powerful tool in any field, and you don't need wildly technical skills in order to make sense of a spreadsheet. Imagine if we all had the power to ask for evidence, and to critically interrogate that evidence. That's the world I'm working towards, and I'm so grateful to all of my Make Me Data Literate guests who are helping me along the way!
When we use machine learning for really important things like recruitment and health, we need to be immensely cautious and rationally sceptical of the results that we get.