This analysis describes what Chegg'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 updated policy provides more explicit disclosure of how Chegg collects, uses, and shares personal data, including new detail on AI training uses and third-party payment processing. The policy now clearly directs users to region-specific privacy disclosures that may provide additional rights and protections depending on jurisdiction. The policy also clarifies that it does not cover workforce data and that when users access services through educational institutions or employers, their data may be shared with those organizations to monitor service usage.
View change record →How other platforms handle this
Your data will not be used by Acorns for training AI models.
When we use machine learning, we either: (1) still have a human being involved in the process (and so are not fully automated); or (2) use machine learning in ways that don't have legal or similarly significant effects.
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.
"We may also process such audio information to troubleshoot and improve the service by training our machine-learning models with support from expert human reviewers. Such audio information will not be used to uniquely identify you.Excerpt from Chegg's Privacy Policy
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The clause states: “We may also process such audio information to troubleshoot and improve the service by training our machine-learning models with support from expert human reviewers. Such audio information will not be used to uniquely identify you.”
ConductAtlas has identified this type of provision across 212 platforms. See the full comparison.
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