This analysis describes what Uber's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
Driver and delivery person matching is an automated algorithmic process, not a human-curated one, and is driven by dynamic inputs that include the user's location and destination.
Interpretive note: The excerpt uses ellipsis, indicating additional matching factors exist beyond those explicitly quoted. Only factors named in the excerpt are included in the canonical claim.
The driver or delivery person you are matched with is selected by an algorithm that considers your location and destination, among other factors.
How other platforms handle this
We use automated decision-making to help improve our products and services to you. For example, we may use automated technologies to send you job alert emails regarding roles that may be of interest to you based upon your search criteria...
We use personal information in connection with certain automated processes to operate the Lyft Platform, for example, to match Riders and Drivers, detect and prevent fraud, and enforce our Terms of Service.
Request a review of decisions made solely based on automated processing of personal data.
"Uber uses algorithms to efficiently match you with drivers or delivery people... our algorithms then evaluate various factors to determine the best match, including your location, requested destination...Excerpt from Uber's Privacy Notice
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Driver and delivery person matching is an automated algorithmic process, not a human-curated one, and is driven by dynamic inputs that include the user's location and destination.
The driver or delivery person you are matched with is selected by an algorithm that considers your location and destination, among other factors.
ConductAtlas has identified this type of provision across 217 platforms. See the full comparison.
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