Sendlane
Legal Bases for AI
The policy does not explicitly use terms like "AI" or "machine learning." However, it describes activities such as "personalize website content and communications," "targeted offers and ads," "Interest-Based Ads," and "protect against or deter fraudulent, illegal or harmful actions," which are commonly powered by automated, algorithmic, or machine learning systems.
To personalize website content and communications based on your preferences, including targeted offers and ads served through the Services.
To protect against or deter fraudulent, illegal or harmful actions and maintain the safety, security and integrity of our Services.
These advertisements may be targeted to users who fit certain general profile categories or display certain preferences or behaviors (“Interest-Based Ads”).
Personalizing website content, communications, and serving targeted offers and ads based on user preferences.
To personalize website content and communications based on your preferences, including targeted offers and ads served through the Services.
Protecting against or deterring fraudulent, illegal, or harmful actions to maintain service safety and integrity.
To protect against or deter fraudulent, illegal or harmful actions and maintain the safety, security and integrity of our Services.
Serving interest-based advertisements to users based on their general profile categories, preferences, or behaviors.
These advertisements may be targeted to users who fit certain general profile categories or display certain preferences or behaviors (“Interest-Based Ads”).
Using automated dialing technology to send text messages to users.
Sendlane using automated dialing technology to text you at the wireless number you provided
The policy describes personalization, targeted advertising, and automated messaging, which directly influence the user's experience and the content they receive. While not explicitly "automated decision-making" with legal effects, these activities represent a significant level of automated processing of user data to shape their interactions with the service and third-party ads. Fraud detection is generally a background process, but personalization and targeted ads are more direct.
The policy does not explicitly mention using personal data for AI or machine learning training.
The policy does not explicitly mention using user interactions for AI or machine learning training.
The policy does not explicitly mention using public content for AI or machine learning training.
The policy does not explicitly mention sharing data for AI or machine learning training purposes.
Despite a comprehensive privacy policy and stated support for GDPR/CCPA with user rights mechanisms, the extremely low deterministic score of 0/70 indicates severe underlying privacy compliance failures. This suggests a significant disconnect between stated policies and actual practices, posing a high risk to user data.
Recommended Actions
Exercise extreme caution when sharing personal data with this company.
Thoroughly review the full privacy policy for specific clauses that might lead to the 0/70 score, as the summary alone doesn't reveal the root cause.
Consider alternatives that demonstrate stronger, verifiable privacy compliance and higher assessment scores.
If using the service, minimize the personal information provided and regularly check for any reported data breaches.