Users may not expect that their creative prompts and generated images become training data for an AI system, and there is no clearly described opt-out mechanism for this specific use within the policy.
Users uploading personal images, videos, or sensitive text may not expect that content to contribute to AI model development, and no specific opt-out for this use is described in the policy.
Cohere
· Cohere Privacy Policy
This provision determines whether the prompts, documents, and queries you submit to Cohere's AI services are retained and used to further develop Cohere's models, which has implications for confidentiality of submitted content and data minimization obligations.
Cursor
· Cursor Terms of Service
This provision establishes that the default position is no use of user content for AI training, which is a contractually explicit opt-in framework rather than a passive opt-out arrangement.
This means the opt-out is not absolute: any conversation that triggers a safety review can be retained and used for model training even if you have explicitly chosen not to contribute your data, and users have no visibility into when or why a conversation is flagged.
The terms authorize Google to use conversation content for AI model training and product improvement, which means information submitted in conversations may inform future AI outputs and training datasets. The policy's advisory against submitting confidential information confirms the operational scope of this use.
The provision establishes the operational scope of data collection and processing beyond immediate service delivery. It defines a core business practice—using user-generated content and interaction data as inputs for model training—as part of the service terms.
This provision determines whether the content of your interactions, including text prompts, uploaded files, and feedback, may be incorporated into future AI model development, which has implications for confidentiality of the information you share.
Users of generative AI platforms have a reasonable expectation that their creative inputs are used to produce outputs for them, not necessarily to train the underlying AI systems. This provision extends the use of user data beyond the immediate service transaction.
Windsurf
· Windsurf Security & Data Handling
The document states that data may be routed to third-party AI inference providers regardless of which model the user has explicitly chosen, which means users may not have full visibility into which providers receive their code or conversation data.
This provision places responsibility on users to verify AI-generated content, which is significant for anyone using NotebookLM to summarize, analyze, or research important topics, as errors in outputs are the user's responsibility to identify.
This provision discloses the inherent limitations of AI-generated outputs and establishes that users bear responsibility for verifying information obtained through the platform. The disclaimer has operational significance for users relying on Perplexity in professional, legal, medical, or financial contexts.
Replit
· Replit Terms of Service
The agreement places full responsibility on users to verify AI-generated output and disclaims Replit's liability for errors, which is particularly relevant for users deploying AI-generated code in production environments or relying on it for consequential decisions.
Writer
· Writer Terms of Service
If you rely on Writer's AI outputs for competitive advantage, brand differentiation, or copyright protection, this clause signals that the same content could be delivered to competitors or other users.
This provision establishes the operational scope of data processing for AI features, clarifying that identifying information flows through the AI system in both directions—from user input through to system output—rather than being anonymized or stripped before processing.
This provision discloses that personally identifying user inputs are processed by AI-powered features, but the policy as excerpted does not address whether those inputs are used for model training, retained beyond immediate use, or processed by third-party AI infrastructure providers. This gap in disclosure is operationally significant for GDPR compliance (Articles 13 and 14 transparency requirements) and for enterprise and developer users of Epic's tools who may submit proprietary or sensitive information.
The clause clarifies the operational flow of data through AI systems: user-submitted information is used as training input for generative models, and the resulting outputs are returned to the user. This establishes the functional relationship between input data and AI feature delivery.
This commitment creates operational standards for AI system validation and ongoing performance monitoring. It establishes a framework where deployment is conditional on pre-release testing and post-deployment surveillance, with differentiated requirements based on use-case criticality.
Microsoft
· Microsoft Responsible AI Standard
This provision sets forth the institutional framework under which Microsoft's AI products are developed and evaluated. The commitment establishes operational standards that apply across the entity's AI development lifecycle and governs how safety and reliability assessments are conducted.
AI features are governed by additional terms that may impose separate data use, content generation, and liability provisions; users should review the Airtable AI Terms separately to understand how their data may be used by AI models.
This provision establishes Google's internal operational commitments regarding AI safety protocols and testing methodologies, creating a documented standard for how the entity will approach risk identification and mitigation in AI technology development.
This provision extends content and data use restrictions to all platform participants, including developers and businesses, and may affect how organizations use Telegram data for analytics, compliance monitoring, or AI development.
This commitment establishes Microsoft's operational framework for protecting AI systems against technical attacks and integrity threats throughout the system lifecycle. The provision formalizes security testing as a required component of AI development and deployment procedures.
Pika
· Pika Terms of Service
The profit share percentage and payout terms are not specified in the main terms of service document itself, meaning the financial terms of AI Self monetization are subject to change and may not be fully known until you enroll in the program.
AI services like Azure OpenAI and Copilot may carry distinct terms governing data use for model training, output ownership, acceptable use, and liability for AI-generated content that differ from standard Azure cloud service terms.
The provision establishes the operational basis for chatbot data collection and use, defining the permissible purposes for processing support interactions and specifying retention authority for quality and development functions. This framing establishes the data processing scope within the support service architecture.
This provision establishes that AI support tool interaction data, including both user prompts and system-generated responses, is retained as part of the Service's data collection. This creates a data category that may require separate assessment under GDPR, CCPA, and emerging AI governance frameworks, particularly if users inadvertently include sensitive personal information in prompts.
AI-generated scores and ratings produced by D&B may influence credit decisions, business risk assessments, and professional due diligence about individuals, making the governance of these systems material to both individuals and the organizations that rely on D&B data.
This provision clarifies the operational scope of what materials the Service collects and maintains, specifically extending storage practices to AI tool interactions. It establishes user control over content composition while establishing the Service's authority to store and retain such materials.
The consolidation of AI Features terms into the primary User and Creator Terms establishes a unified policy framework where AI tool usage and data practices are integrated into the central agreement governing platform use. This structural modification affects where users and creators locate AI-related obligations and authorizations within the documented terms.