Strava uses your health data, GPS location, and activity information — depending on your privacy settings — to develop and run AI and machine learning models that provide personalized training recommendations and other AI-powered features.
This analysis describes what Strava'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
The clause establishes the scope of data uses permitted under the service terms, conditioning AI feature deployment on user-configurable privacy settings. This defines the operational framework for how personal health and location data flows into algorithmic systems.
Strava's AI features, including personalized training analysis and route recommendations, are built on your health and location data — this means sensitive fitness and biometric information is processed by machine learning systems, potentially in ways that are not fully transparent.
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Applicability: This Policy applies to personal data that Midjourney collects, uses, and discloses and which may include: (i) data collected through the Services, (ii) data collected through the process of training Midjourney machine learning algorithms, (iii) data collected through Midjourney websit...
We are simplifying our Terms of Use, including clarifications around the use of AI tools, and their data use. We have moved the terms that describe AI Features, which were previously written for a Creator audience and located under the AI-Based Tools Supplemental Terms and Disclaimer, into the User ...
Data publicly available on the Internet. Our artificial intelligence models are trained on data that is publicly available on the Internet by third parties, which may contain personal data, even if we use good practices to filter out such personal data. [...] Training Datasets. In some cases, we acc...
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"Depending on your privacy controls and sharing permissions, we also may use personal information such as health and Location Information for AI Features, for example, to provide you with training analysis and recommendations.— Excerpt from Strava's Strava Privacy Policy
(1) REGULATORY FRAMEWORK: This provision implicates GDPR Art. 22 (automated decision-making — if AI features produce decisions with significant effects, users have rights to explanation and human review), GDPR Art. 6(1)(a)/(f) for lawful basis of AI processing, GDPR Art. 9(2)(a) for health data in AI pipelines, GDPR Art. 5(1)(b) purpose limitation for repurposing health data for AI training, and the EU AI Act (if Strava's AI systems qualify as high-risk under Annex III — biometric or health data processing systems may qualify). CCPA/CPRA §1798.121 applies to AI processing of sensitive personal information. The FTC's 2024 report on commercial surveillance addresses AI training on consumer data. (2)
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The clause establishes the scope of data uses permitted under the service terms, conditioning AI feature deployment on user-configurable privacy settings. This defines the operational framework for how personal health and location data flows into algorithmic systems.
Strava's AI features, including personalized training analysis and route recommendations, are built on your health and location data — this means sensitive fitness and biometric information is processed by machine learning systems, potentially in ways that are not fully transparent.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by Strava.