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NDP pushing for ban on AI surveillance pricing as Lewis makes Parliament Hill debut
The motion follows an Abacus Data poll showing 52% of Canadians want the practice banned, as New Democrats cite rising grocery and rent costs.
- On Monday, NDP Leader Avi Lewis announced on Parliament Hill that the party will introduce a motion to ban "surveillance pricing," a practice where companies use personal data to raise consumer prices, with MP Leah Gazan filing the motion.
- Surveillance pricing involves companies using data like browsing history to tailor prices, a practice already under examination in Manitoba; Lewis praised Manitoba Premier Wab Kinew for leading provincial efforts to outlaw the tactic.
- With 52 per cent of Canadians supporting a ban according to a recent Abacus Data poll, Lewis cited examples of predatory pricing, such as parents being charged more for medicine after searching for sick-baby supplies online.
- To curb data-driven price discrimination, Lewis argues federal intervention is necessary because Ottawa has regulatory mechanisms that provinces lack, positioning the NDP's strategy as a national solution.
- The announcement marked Lewis's first press conference on Parliament Hill, where he emphasized rebuilding the party organization and indicated he will not ask sitting NDP MPs to step aside.
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This price adjustment, "it's theft." Avi Lewis invites the Carney government, close to the majority, to legislate.
·Montreal, Canada
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The Toronto Star+31 Reposted by 31 other sources
NDP pushing for ban on AI surveillance pricing as Lewis makes Parliament Hill debut
The NDP is expected to introduce a motion Wednesday calling on the government to ban a practice known as surveillance pricing that New Democrats say is unfair to consumers.
·Toronto, Canada
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The NDP should table on Wednesday a motion asking the government to ban a so-called "supervisory pricing" practice that the New Democrats consider unfair to consumers.
·Montreal, Canada
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Coverage Details
Total News Sources39
Leaning Left24Leaning Right0Center5Last UpdatedBias Distribution83% Left
Bias Distribution
- 83% of the sources lean Left
83% Left
L 83%
C 17%
Factuality
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