TikTok
· TikTok Terms of Service
The clause operationalizes COPPA compliance and establishes a tiered age-based access framework with differentiated contractual obligations and privacy protections depending on the user's age category.
This provision establishes the platform's COPPA compliance framework, requiring parental consent for users under 13 and placing representational obligations on account creators. The effectiveness of this mechanism depends on how Roblox implements age verification and parental consent procedures in practice.
Roblox
· Roblox Privacy and Cookie Policy
This provision establishes age-gated advertising eligibility thresholds that govern how the platform serves advertisements across its user base, creating distinct operational obligations for ad delivery systems and age verification processes. The provision's restriction of personalized advertising to users 18 and older sets a higher threshold than COPPA's 13-year floor and interacts with both COPPA and emerging state children's digital privacy laws.
These requirements function as gatekeeping mechanisms to establish legal capacity, enforce age restrictions on adult content access, and create documented identity records for regulatory compliance and fraud prevention purposes.
This carve-out means that deletion of your DNA data is not complete erasure — your genetic information may persist in research databases in aggregated form. This has particular significance for users who later change their mind about research participation.
Users interacting with AI features may not realize that their prompts and AI-generated responses can be collected and used for product improvement, which could include sensitive or confidential content depending on how the feature is used.
This provision authorizes LinkedIn to use the professional content and data you contribute to the platform to develop and improve AI products, including sharing with its parent company Microsoft, which may extend the use of your data beyond the LinkedIn platform itself.
Zoom
· Zoom Privacy Statement
This provision determines whether the content of your meetings, including things you say, type, or share, may be used to improve Zoom's AI products. Because the opt-out is assigned to account administrators rather than individual users or participants, individuals who join meetings on accounts they do not control cannot directly manage this setting.
This provision means personal data you provide, or that Thomson Reuters collects about you, could be used to build AI systems, raising questions about what data is used, for how long, and whether individuals have effective control over that use.
This provision authorizes X to use broad categories of personal data, including content you create and how you interact with the platform, to develop and improve AI systems, which is a use that may extend beyond what users typically anticipate from a social media service.
The authorization to use personal data for AI training is explicit and broad, and the notice does not describe limits on which data categories may be used for this purpose or how long AI-trained models derived from user data are retained.
Zoom
· Zoom Terms of Service
The agreement authorizes use of meeting and communication content, which may include audio, video, chat transcripts, and shared files, to develop and improve AI features, subject to consent and available opt-out mechanisms.
Figma
· Figma Privacy Policy
Design files submitted to Figma's AI features may contain proprietary business information, client work, or sensitive intellectual property, and this clause authorizes Figma to use that material to improve its AI unless users take affirmative steps to opt out.
Miro
· Miro Privacy Policy
AI features may involve additional data processing, including the use of board content to train or improve AI models, which raises distinct privacy considerations not covered by the main Privacy Policy.
Glean
· Glean Privacy Policy
Using customer workplace data for AI model training raises significant questions about data purpose limitation and confidentiality of enterprise information, particularly where employees discuss sensitive business matters through Glean.
This provision establishes an opt-out default for use of personal interaction data in AI model training, meaning training use proceeds unless users take affirmative action. For EU/EEA users, the adequacy of an opt-out mechanism as opposed to opt-in consent for this processing purpose may require evaluation against GDPR requirements depending on the processing basis asserted.
Your conversations may contribute to improving Mistral AI's models by default on free and some paid plans, meaning the things you type into the service could be reviewed and incorporated into future AI training unless you take action to opt out.
Suno
· Suno Privacy Policy
This means content you create or upload, including music prompts and generated songs, may feed back into Suno's AI training pipeline without requiring your explicit, specific consent, which is a materially different standard than opt-in consent.
This clause establishes the default data practice for model training and specifies the mechanism by which users can opt out of this use. The provision clarifies that conversation data serves a dual function: both to provide the service and to improve Google's AI infrastructure.
Users engaging in potentially personal or sensitive conversations with AI characters may not fully appreciate that their messages and voice inputs can become training material for commercial AI models.
OpenAI
· OpenAI Privacy Policy
This provision is operationally significant because it means that conversational inputs, which may include personal, professional, or sensitive information, may be incorporated into AI model training unless the user actively disables the setting.
This provision establishes that conversational input submitted by users during ordinary platform use may be incorporated into AI model training workflows. The opt-out mechanism's operational scope, accessibility, and technical implementation are material to compliance under GDPR and CCPA, particularly regarding whether opt-out requests are honored prospectively or also retroactively.
This provision means that even users who opt out of training cannot fully prevent their conversation data from being used in AI model development under certain circumstances, which has implications for personal data shared in conversations.
Midjourney
· Midjourney Data Retention & Privacy FAQ
The policy states that prompts, uploaded images, and generated images may be used for AI model training, and the terms assert a license to use this content for that purpose, which may affect users who submit personal, sensitive, or proprietary material through the platform.
This provision establishes a default-on data practice in which user-submitted creative prompts and generated outputs are authorized for use in AI model training; the opt-out mechanism places the procedural burden on users to contact the company rather than providing an in-platform toggle.
This means your queries, including potentially sensitive ones about health, finances, or personal matters, could become part of the data used to build Perplexity's AI models.
Most people do not expect that the details they share in a private conversation could be retained and used as training data; this is especially significant if you have shared sensitive personal, health, financial, or emotional information with the AI.
PayPal
· PayPal Privacy Statement
This provision discloses that personal information, including financial and transaction data, is used to train AI models, and that automated decision-making is applied to fraud and risk assessments that may have consequences for account access and service availability.
This provision states that content users enter into Windsurf, which may include proprietary code, sensitive queries, or personal information, can be retained and used to train the company's AI systems beyond the immediate session.
This provision means that creative inputs and outputs produced during your use of Stability AI tools may become part of the data used to improve the company's AI models, which raises questions about consent, data minimization, and the scope of use beyond the immediate service interaction.