PayPal
· PayPal Privacy Statement
The clause establishes PayPal's operational authority to process personal data for model development and automated determinations regarding fraud detection, risk assessment, and service delivery. This authorization applies across the full customer base and affects how the company processes information in real time.
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.
The clause establishes a data use authorization distinct from service delivery, permitting the entity to incorporate user-generated content and interaction data into model development activities. This operational scope means user communications and activity patterns may be incorporated into AI system improvements available across the service.
OpenAI
· OpenAI Privacy Policy
The clause establishes a default practice where user content contributes to model training unless affirmative opt-out action is taken. This operational framework determines the scope of permitted use of submitted materials across the service.
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.
This provision means that if an employee or end user relies on a Perplexity AI output that turns out to be incorrect, the enterprise customer has no warranty claim against Perplexity. The terms place the entire risk of AI output accuracy on the customer.
This provision allocates responsibility for output verification to the user and establishes a boundary on the service's intended use scope. It operationalizes the principle that Gemini Apps functions as a general information tool rather than a professional advice substitute.
The clause establishes that OpenAI does not warrant the reliability of model outputs and allocates responsibility for output accuracy assessment to the user. This provision functions to limit OpenAI's liability exposure for downstream harms or losses resulting from reliance on generated content.
Writer
· Writer Terms of Service
The clause operationally establishes Writer's liability posture by disclaiming warranties that would otherwise be implied under law, and by allocating to users the obligation to validate output quality rather than relying on Writer's performance guarantees.
Writer
· Writer Terms of Service
The disclaimer of accuracy and reliability warranties is particularly significant for enterprise customers deploying Writer in high-stakes use cases such as clinical trials, financial research, or legal document generation, as referenced in Writer's own platform description. Under this clause, users assume risk for reliance on AI-generated outputs.
This provision explicitly states that AI-generated outputs are not warranted for accuracy, completeness, or fitness for any specific use, which has direct operational implications for users or organizations relying on Perplexity outputs in professional, regulated, or high-stakes contexts. The disclaimer applies to the full scope of platform outputs.
The provision allocates ownership rights while establishing Tabnine's operational authority to incorporate user-generated content and outputs into service development and improvement. This dual structure permits Tabnine to use the aggregate of user inputs and outputs as development material while preserving individual user ownership claims to specific outputs.
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.
Airbnb
· Airbnb Terms of Service
The provision establishes the framework governing Airbnb's legal exposure and the remedies available to users in dispute scenarios. By restricting recoverable damages to direct damages only and excluding certain damage categories, the clause materially affects the scope of potential monetary recovery in liability claims.
Pika
· Pika Terms of Service
This provision allocates operational control and accountability to the user rather than to Pika for AI Self behavior. It establishes that the user's configuration decisions regarding the AI agent determine its interaction patterns with other users.
Pika
· Pika Terms of Service
If your AI Self generates harmful, defamatory, or misleading content in autonomous interactions with other users or on social media, these terms assert that you bear sole responsibility for those outputs, which could create unexpected legal exposure for the account holder.
The provision establishes transparency regarding the deployment of AI-based data processing systems within the organization's operations and documents third-party certification of responsible AI practices. This signals the company's commitment to standards for AI system governance and accountability in data handling.
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.
This provision establishes a data collection and processing framework that permits Microsoft to retain and utilize voice and AI interaction data as part of its product development and model improvement operations, including through third-party vendor involvement.
The provision establishes LinkedIn's operational authority to incorporate user content into AI training datasets without separate compensation or per-use licensing arrangements. This licensing structure enables LinkedIn to develop and improve AI-powered features using the platform's accumulated user-generated content as training material.
TikTok
· TikTok Terms of Service
The provision establishes the legal basis for TikTok's use of user content in AI model development and algorithm improvement, allowing the platform to process content at scale for training purposes while maintaining operational authority over derivative works and adaptations.
The provision establishes that Instacart obtains broad rights to user content for model development and service improvement without compensation or exclusive restriction. The perpetual and transferable nature of the license means these rights continue indefinitely and may be conveyed to other parties.
The provision establishes Descript's legal basis for processing user content beyond the immediate service delivery function, including the right to make content available to third-party partners. This authorization extends to content improvement, service promotion, and syndication activities without requiring separate user consent for each use case.
This authorization allows OpenAI to incorporate user submissions into its model development workflow, which is operationally central to the service's improvement and feature development. The provision clarifies the company's rights to use submitted data for its core business function of training AI systems.
This provision establishes the operational scope of data usage for model development and improvement. The inclusion of an opt-out mechanism creates a dual framework: data usage occurs by default, with users able to modify this through affirmative account configuration.
Runway
· Runway Terms of Service
The clause establishes a broad data usage framework that allows the service provider to incorporate user-generated content into its model development pipeline without additional compensation or time limitations. This authorization extends to sublicensing, meaning the company may authorize third parties to use the same material for specified purposes.
The provision establishes a broad operational scope for content reuse by establishing that user submissions trigger licensing rights that extend beyond display and storage to include derivative uses in model training. This authorization enables the service operator to incorporate user-generated content into its AI development infrastructure without per-use compensation or notification requirements.
Pika
· Pika Terms of Service
The provision establishes the operational scope of data that the Service may use for AI processing and output generation. It authorizes creation of persistent AI-generated personas derived from user biometric and voice characteristics that can operate independently on connected platforms.
Pika
· Pika Terms of Service
Your voice recordings and likeness data are biometric-adjacent personal information; their use for AI training and autonomous AI Self creation raises significant privacy concerns and may trigger specific legal protections depending on your state of residence.