First, there is a need to consider this around Bill C-27 and the ways in which we're trying to understand privacy and data. Partially what is really important now is recognizing our data power. What AI demonstrates is that there's power in collecting large amounts of data. You can now mobilize it. Really, it's trying to think about privacy law and data as bigger than the traditional concerns about personal information. That's an important broader shift that we've been witnessing, but it just hits it home.
I think the second thing is then trying to understand these uneven and disparate impacts. Certainly we're going to hear ample evidence about the benefits of artificial intelligence. I think it's incumbent on the government to understand and protect those marginalized and precarious workers who might be on the outside of those benefits.
That's certainly part of what's going on with generative AI. We're trying to understand a different class. That's why there's so much attention right now. It's a different class of workers, typically white-collar creative workers, who are potentially now facing greater competition from automated solutions. That's not to say that the effects are going to be easy to predict, but it's also saying that we're seeing a marked shift. That needs to be taken into consideration in how we're going to understand this relationship with AI and the labour market.
Finally, it's to ensure that we are making sure that we have strong protections for workers and making sure that this is something that we value as a society and part of how we frame our legislative agenda.