AT&T
The policy does not explicitly mention AI, machine learning, or related advanced technologies. However, it describes activities like fraud detection, content monitoring, and enforcement against violations, which commonly involve automated or algorithmic systems, thus qualifying as 'partial' disclosure.
In order to protect AT&T and its customers from fraudulent activity, we may implement reasonable procedures regarding any online orders including but not limited to validating information provided or limiting the amount of equipment (e.g. wireless phones) and/or services that may be ordered online by a single individual or entity.
AT&T shall have the right (but not the obligation) in its sole discretion to monitor, refuse or remove any Content that is available via our Site for any or no reason, including that any Content violates these Terms or is otherwise objectionable.
AT&T may access, use, and disclose transaction information and any Content provided by you to comply with the law... to protect users of AT&T’s services, the Site and other persons or entities from fraudulent, abusive, or unlawful use of the Site or any such services.
Protecting AT&T and its customers from fraudulent activity by implementing reasonable procedures for online orders and validating information.
In order to protect AT&T and its customers from fraudulent activity, we may implement reasonable procedures regarding any online orders including but not limited to validating information provided or limiting the amount of equipment (e.g. wireless phones) and/or services that may be ordered online by a single individual or entity.
Monitoring, refusing, or removing user-submitted content that violates terms or is otherwise objectionable.
AT&T shall have the right (but not the obligation) in its sole discretion to monitor, refuse or remove any Content that is available via our Site for any or no reason, including that any Content violates these Terms or is otherwise objectionable.
The identified potential uses of automated systems (fraud detection, content moderation) are primarily for site security and compliance, which typically have a low direct impact on individual users beyond ensuring a safe environment. There is no indication of automated decision-making or profiling that significantly affects user access or services.
The Terms of Use document does not contain any information about using personal data for AI or machine learning training. It defers to a separate Privacy Notice for details on data collection and use.
The Terms of Use document does not contain any information about using user interactions for AI or machine learning training.
While Section 12 grants AT&T a broad license to use user-submitted content, including the right to 'modify, adapt, publish, translate, create derivative works from, distribute, perform and display', it does not explicitly state that this content will be used for training AI or machine learning models.
The Terms of Use document does not contain any information about sharing data for AI or machine learning training.
AT&T exhibits significant privacy concerns, primarily due to its stated lack of support for major privacy regulations like GDPR and CCPA. The absence of a dedicated data request form and a proper privacy contact email (using a copyright email instead) severely hinders users' ability to exercise their data rights, indicating a lack of commitment to user privacy. The very low deterministic score further suggests a lack of transparency and robust privacy practices.
Recommended Actions
Exercise extreme caution when sharing personal data with AT&T, as your rights to access or delete data may be difficult to enforce.
Review your account settings to minimize optional data sharing and advertising preferences, though the effectiveness of these controls may be limited.
Be mindful of any content you post publicly, as it will be visible to others and the company's deletion processes appear ambiguous.
Consider alternative service providers that demonstrate stronger commitments to user privacy and compliance with modern data protection laws.