And the reason I started in Kenya with data labelers, who I call the data laborers, was actually to start at the beginning of the pipeline of AI where AI really starts being built, and to explain that this isn't a self-learning technology that you just set loose on some data, but there are actually hundreds of thousands of humans who sit in factories and label data so that AI systems can perceive them, can analyze them, right? So at the end of the book, with some humility, you say these are not quite as grand as the Rome Call or the Bletchley Declaration, but you offer 10 simple questions that you say are carved out from my interactions with people who think deeply about AI, questions that may help protests simply understand AI technology better.