It's all very context-specific. In certain sectors, there are existing frameworks that are working quite effectively to stem irresponsible investment in AI in the use context. Whether or not they're experimenting internally is one thing, but how it's ultimately used is another. I think in certain contexts there are effective safeguards. I also think that many sectors are adapting, with concern that the safeguards aren't good enough.
Look at health care. Health Canada came out with “Software as a Medical Device” to help us better understand how we can assess the risk of medical devices. That's important. The development of AI in health care is one thing, but we need that kind of tailored approach to ensure that when it gets to bedside, it meets certain standards, and we have to know what those standards are.