Essentially, when we look at artificial intelligence, there are many steps in that.
The first step is collecting data for an AI system. The second step is annotating that data. For example, if you have an image where you see a nose and eyes, there is somebody annotating that. Then there is the feedback loop where that data is enriched, so it goes through a software model, and ultimately the outputs of that are revalidated by a human. That's packaged into a proof of concept that's oftentimes launched, and then it becomes a product that's used by consumers or in the business context. That's the whole supply chain.
Right now, this legislation is geared only around the outputs, so we're missing all of the work done by humans to create the AI systems. I think it's important to have a law in place, because we need to start regulating the outputs as much as we need to regulate the supply chain.
My recommendation [Technical difficulty—Editor].