“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.”
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
To the extent we engage in automated processing or profiling to prevent, detect, protect against or respond to fraudulent activity, we are not required to offer the right to opt-out.
StockX may use fraud protection measures, including algorithms and automated systems, to monitor for fraud. Such measures may result in cancellation of orders or listings or account suspension.
Such tools are used to support, and not replace, human review where required by law.
"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 weekly coverage letter
Companies change their terms without announcing it. We capture governance documents, compare each new version with the last, and publish what changed, with the source text behind it. One email a week on what we found and what we could not reach.
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 211 platforms. See the full comparison.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by Uber.