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
User behavior is continuously analyzed by automated systems against a baseline of typical behavior, meaning algorithmic assessment of behavioral patterns is applied to all users.
Interpretive note: The excerpt uses ellipsis, suggesting additional detail about the fraud detection tools exists beyond what is quoted.
Your usage patterns are assessed by Uber's algorithms against typical user behavior baselines as part of automated fraud detection.
How other platforms handle this
it is unlikely that an objection or opt out right would apply to such processing. This is because... no such right applies because the process relates to an exempted purpose, such as performing our contract with you or the detection or prevention of fraud...
We may enforce this provision using both automated detection methods and human review, in accordance with our policies and applicable law.
Request a review of decisions made solely based on automated processing of personal data.
"Uber uses algorithms to prevent and detect fraud against Uber or our users... These tools look for patterns that may indicate fraudulent behavior, such as those that vary significantly from typical user behavior.Excerpt from Uber's Privacy Notice
How Meta, TikTok, and Supabase restructured governance language across documents, jurisdictions, and consent frameworks through incremental document updates.
How 10 AI platforms describe the use of user data for model training, improvement, and development, based on archived governance provisions.
Get the research letter
Companies change their terms quietly. We read every version and catch what actually changed. One email a week on the changes that matter and what they mean.
User behavior is continuously analyzed by automated systems against a baseline of typical behavior, meaning algorithmic assessment of behavioral patterns is applied to all users.
Your usage patterns are assessed by Uber's algorithms against typical user behavior baselines as part of automated fraud detection.
ConductAtlas has identified this type of provision across 217 platforms. See the full comparison.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by Uber.