However progressive we like to think we are, our society still has a massive problem with gender bias. Chatbots hold a mirror up to the data we train them on, and the society that created that data. And, of course, it's not just gender bias we can find in these chatbots.
Category: Data Science Explainer
Machines are unbiased, and other bedtime stories
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.
There’s no such thing as Artificial Intelligence
There truly is no such thing as Artificial Intelligence. But, but ChatGPT, you cry! But self-driving cars! But The Algorithm! None of these are even close to intelligent. But how do we know?
The power of definitions
It doesn’t matter what technology you teach, when you’re teaching Data Science. I don’t care whether you use Python, R, spreadsheets, or stacking blocks to make graphs and analyse your data. What matters, above all else, is that you teach your students to ask critical questions about the data. How was it collected? What are the definitions you used? How do we know the definitions are valid? What other definitions could we use, and how would that change the data?
Seven steps to great surveys
Surveys can be so useful, but they can also be wildly misused. Here are seven tips for writing great surveys.