""When suppliers are collecting your data, analyzing your data the reason they're doing this is to try to get as close as possible to your maximum willingness to pay," said Pascale Chapdelaine, an associate professor of law at the University of Windsor who researches algorithmic pricing. "From a competition law perspective, this is problematic.""
"Advertisers and data brokers "are recording basically everywhere you go and then drawing inferences from that. So where do you like to shop? What kinds of things do you like to read?" said Christo Wilson, a computer science professor at Northeastern University in Boston who researches digital consumer protection issues."
"Data brokers can use this granular information to create "massive dossiers" about consumers. They can then connect those digital trails with public records."
The federal NDP proposed a motion to ban surveillance pricing, which uses personal data to set different prices for consumers. The motion was rejected by MPs. Surveillance pricing, also known as algorithmic personalized pricing, adjusts prices based on individual consumer data. Experts argue this practice raises competition law concerns. Personalized pricing relies on tracking online behavior, with data brokers creating extensive profiles of consumers. This practice connects digital activity with public records, raising privacy and fairness issues in the marketplace.
Read at www.cbc.ca
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