You have zeroed in on the issue of biases. There is also the issue of hallucinations. I would say that we have not yet come up with a response or solution to these two factors. We know that big artificial intelligence companies say they are solving these issues, but the challenge remains real.
In my opinion, the government can ensure these companies are compliant, so to speak, by forcing them to be transparent. It’s important to try and open up this black box. For now, there is no mechanism in place in that regard.
A study by the Blue Cross on travel intentions by Quebeckers and Canadians was released today. Over 3,000 Canadians were surveyed to find out where they were planning to go this winter, in Canada or abroad. The results showed people are increasingly using artificial intelligence tools for travel suggestions and for tips and tricks to save money while travelling.
The report you alluded to in the article I wrote was the DGTL study published by Léger in September. From one year to the next, consumers are making more use of artificial intelligence in their daily lives.
Obviously, Google is still the main online search engine, but do they know exactly how Google’s algorithm works when giving results? They did not know more. There were just a few indicators. Artificial intelligence has put us in a field where we have sources, but we don’t know how the tool was trained.
This creates challenges for businesses, for example, as they don’t always understand why they are not recommended in search results. That poses a real challenge because instead of getting a list with hundreds of clickable links, you now get a mash-up answer with two or three suggestions for companies, businesses and organizations. Businesses are at risk if their name does not appear among these suggestions.
I don’t have an answer to that, unfortunately, but I think that it’s indeed a problem that must be dealt with.