That is a tough question, because the technology is moving so fast that a good regulation for today's AI may be out of date by next month.
Right now, in our white paper, for example, we don't openly call for much new regulation, simply because there are so many areas where it is really hard to monitor what's going on in AI and to regulate software. It's a very fast-evolving technology. However, there are some basics you can put in place, like, for example, banning deepfakes and protecting children.
Also, to an earlier point, there are a lot of existing laws, like human rights laws, for example, with biased algorithms. That is something you should be able to protect Canadians against through existing laws by investing in the regulators and ensuring the Privacy Commissioner has enough power and resources to be able to track everything that's going on.
Given how fast things are moving and how hard it is to accurately create laws that will be robust into the future, focus on the simplest pieces, like banning deepfakes or requiring labelling, and on applying current laws as well as you can.
One analogy that comes up is that right now we're dealing with a cute little bear cub, and you need legislation to avoid scratches and bites. If it takes you five years to put a law in place, by the time you do it you'll then be dealing with a full-grown grizzly, and the laws and protections you'll need are very different. Given that we're in this transition period, doubling down on current laws and making sure the regulators have the power they need to be able to act on them while focusing on the things you can do relatively quickly and simply is probably your best strategy.
