Regulatory Challenges of Algorithmic Surveillance Pricing (pluralistic.net)

• Personalized pricing relies on invasive granular data profiling.
• Prohibitive regulations risk impeding European AI development.
• Policy should prioritize transparency and data usage constraints.

"This analysis evaluates the complexities of curbing 'surveillance pricing'—the use of granular consumer data by algorithms to extract maximum willingness-to-pay. Blanket bans are presented as blunt instruments that risk stifling European innovation in dynamic pricing software. The author argues for a nuanced framework focused on data minimization and transparency requirements rather than prohibitions, ensuring that regulatory oversight protects the consumer without hindering the development of independent European digital infrastructure or creating uncompetitive technological environments."