The Business Practices Amendment Act
Chamber
manitoba
Stage
Introduced
This Manitoba bill bans businesses from secretly using algorithms to charge individual consumers higher prices based on their personal data.
Key Changes
- Defines and prohibits 'personalized algorithmic pricing' — charging a specific consumer a higher price based on their personal data without their clear consent
- Classifies the use of personalized algorithmic pricing as an unfair business practice under Manitoba law
- Requires online retailers and distributors to prominently disclose pricing information and the reasons for higher prices in clear language
- Extends unfair business practice rules to cover electronic shelf labelling systems used in physical stores
- Clarifies that unfair practices can occur through AI, algorithms, or data analytics, even if no purchase is completed
- Gives the government power to adjust definitions (e.g., of 'online platform' or 'personalized algorithmic pricing') through regulation
Gotchas
- Consumers can consent to personalized pricing, but only if the supplier clearly explains the reason for the higher price and the consumer takes an explicit action to agree — passive or implied consent is not enough
- The bill deems the use of personalized algorithmic pricing a 'material fact,' meaning businesses must disclose it as part of the transaction, similar to other important terms
- The prosecution limitation period is tied to when the director first gains sufficient evidence, not when the offence occurred — this could affect how long consumers or regulators have to act
- Key definitions like 'online platform,' 'online retailer,' and 'personalized algorithmic pricing' can be expanded or narrowed by government regulation, meaning the practical scope of the law could change without returning to the legislature
- The bill comes into force only when proclaimed by the government, meaning there is no fixed start date after passage
Who's Affected
- Manitoba consumers who shop online or in stores using electronic shelf labels
- Online retailers selling goods through digital platforms
- Online distributors and delivery platform companies (e.g., app-based delivery services)
- Brick-and-mortar retailers using electronic shelf labelling systems
- Technology and data analytics companies that provide pricing tools to retailers
Vibes
0 responses
Gotchas
- Consumers can consent to personalized pricing, but only if the supplier clearly explains the reason for the higher price and the consumer takes an explicit action to agree — passive or implied consent is not enough
- The bill deems the use of personalized algorithmic pricing a 'material fact,' meaning businesses must disclose it as part of the transaction, similar to other important terms
- The prosecution limitation period is tied to when the director first gains sufficient evidence, not when the offence occurred — this could affect how long consumers or regulators have to act
- Key definitions like 'online platform,' 'online retailer,' and 'personalized algorithmic pricing' can be expanded or narrowed by government regulation, meaning the practical scope of the law could change without returning to the legislature
- The bill comes into force only when proclaimed by the government, meaning there is no fixed start date after passage
Summary
This bill amends Manitoba's Business Practices Act to address a practice called 'personalized algorithmic pricing,' where businesses use computer algorithms and personal data to charge different prices to different customers. For example, a retailer might charge someone more based on their browsing history, location, income level, or even their medical history — often without the customer knowing. The bill makes this practice an unfair business practice under Manitoba law. The bill applies to both online retailers and online distributors (like delivery app platforms), as well as physical stores using electronic shelf labels that can change prices digitally. It also clarifies that unfair business practices can occur through the use of artificial intelligence, machine learning, or data analytics — even if no actual purchase is completed. The bill was introduced to protect consumers from hidden, data-driven price discrimination that has become more common as businesses collect large amounts of personal data and use automated systems to set prices.
Automatically generated from bill text using Claude
Vibes
0 responses