I found the machine learning process really intriguing and had a lot of fun experimenting with Teachable Machine. Seeing how the model “learned” from my training data made the process feel very hands-on and clear. The class discussion about bias in data was especially helpful — it made me realise how easily a model can be thrown off by poor or limited data. Linking this back to the model we built really drove home how important diverse, high-quality data is for accurate predictions. I think this would make a fantastic lesson in my classroom and could really help children understand not just how AI works, but also the importance of fairness, and ethical thinking when using technology.