Companies using algorithms to set prices would face heightened scrutiny from California regulators under legislation advancing in the state Assembly.
The bill (AB 325) would expand California’s antitrust laws to prohibit businesses from using pricing algorithms trained on nonpublic data from competitors. It would also prohibit any two companies from using the same algorithm trained on any data to set prices in the same or similar market.
The Assembly Judiciary Committee approved the measure by a vote of 9-3. It heads next to the Assembly Privacy and Consumer Protection Committee.
The measure responds to mounting concerns from consumer ...