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.
GitHub
· GitHub Privacy Statement
The policy authorizes use of user data for AI product development, which may include training or improving machine learning models; the full scope of this use is not entirely defined within this document and requires review of separate product terms.
AI trace data submitted to LangSmith may contain sensitive business information, proprietary logic, or personal data embedded in prompts and completions, and the policy states this data is collected and stored by LangChain as part of the service.
The policy authorizes use of user-submitted content for AI model training, which means inputs to NVIDIA AI services could contribute to model development; the scope of data retained after opt-out is not fully specified in the policy.
Shein
· Shein Privacy Policy
The deployment of an alpha-stage SDK in production environments establishes the technical mechanism through which Shein's privacy-related data handling operations execute client-side. The preload directive prioritizes this script's loading sequence, indicating it operates as a core functional component of the service architecture.
Ancestry
· Ancestry Terms and Conditions
Genetic data is among the most sensitive personal information a person can share, and the layered consent structure, where core terms reference but do not fully replicate the AncestryDNA-specific terms, means users must navigate multiple documents to understand the full scope of how their DNA data may be used or shared.
OpenAI
· GPT-4o System Card (PDF)
The document discloses that these capabilities exist within the model's audio processing architecture and that restrictions were applied prior to release, meaning the risk surface is present and mitigated rather than absent, which is relevant for operators building voice-enabled applications.
Ford
· Ford Privacy Policy
This provision discloses collection of biometric identifiers and biometric information, which are subject to heightened regulatory requirements under statutes such as the Illinois Biometric Information Privacy Act, Texas biometric privacy law, and Washington state biometric law, as well as classification as sensitive personal information under CPRA.
This clause is operationally significant because it attempts to use acceptance of the privacy notice as a blanket authorization for financial institutions and government organizations to disclose user data to DraftKings. The actual enforceability of this authorization against financial institutions may be constrained by GLBA, applicable state financial privacy laws, and the independent consent frameworks those institutions operate under.