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.
Notion
· Notion Terms of Service
The AI Terms establish a distinct operational framework that applies when users access AI features, separate from standard Notion service terms. This provision clarifies the contractual boundaries, data processing rules, and acceptable use parameters specific to AI-powered capabilities.
Replit
· Replit Privacy Policy
This provision establishes the scope of permitted uses for user-generated content beyond the primary service delivery. It defines a use case that extends to model development and feature enhancement activities.
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.
Miro
· Miro Terms of Service
This provision creates a contractual framework linking AI feature usage to supplemental terms and establishes the operational scope of content processing through AI systems. It clarifies that AI functionality involves both Miro's systems and third-party AI models as part of the service delivery mechanism.
Strava
· Strava Privacy Policy
The clause establishes the scope of data uses permitted under the service terms, conditioning AI feature deployment on user-configurable privacy settings. This defines the operational framework for how personal health and location data flows into algorithmic systems.
Miro
· Miro Privacy Policy
This provision establishes the operational scope of data Miro may use for AI model development and establishes an opt-out mechanism for users who do not wish their content used for this purpose. The clause defines what constitutes permissible use of user-generated content within the service's AI development operations.
Suno
· Suno Acceptable Use Policy
The platform's core function involves AI-generated content including vocal synthesis and persona voices, which engages emerging regulatory frameworks around synthetic media, AI-generated audio, and potential likeness rights. The acceptable use policy governing these capabilities has direct implications for content moderation obligations and user liability for generated output.
This provision allocates responsibility for content evaluation and risk assessment to users rather than the service provider. It establishes a liability exclusion for AI-generated outputs and third-party content, limiting the company's obligations regarding content accuracy or appropriateness.
The provision establishes the operational framework for AI content reliability expectations and defines the allocation of responsibility between the service provider and users. It establishes that Microsoft does not warrant the accuracy or safety of machine-learning-generated outputs as a material term of service.
Your conversations with AI characters, including what the AI says to you, fall under a perpetual commercial license that Character.AI can use to promote the service or share with third parties, even though the agreement states you own this content.
This clause establishes the operational boundaries of the AI tool offering by defining its permissible use cases and allocating accuracy verification obligations. It establishes that Public does not represent the AI-generated content as suitable for transactional decision-making or as a substitute for professional financial guidance.
GitHub
· GitHub Privacy Statement
The clause establishes the operational scope of GitHub's data use for model development and product improvement, while providing a mechanism for users to restrict participation in AI training activities through account settings.
The clause establishes the operational basis for the service provider's use of user-generated content and interaction data as training material for model development and service enhancement.
GitHub
· GitHub Privacy Statement
This provision establishes GitHub's operational authority to apply user-generated content to AI model training, which affects how the platform monetizes and develops its technical infrastructure. The clause defines the boundaries of permitted data use beyond the immediate service delivery.
The clause establishes a contractual limitation on derivative uses of the licensed materials, specifically restricting application of the technology toward AI model development. This affects the scope of permitted uses by carving out an entire category of technical applications that would otherwise fall within the licensee's rights to use the technology.
Canva
· Canva Privacy Policy
This provision establishes the operational scope of Canva's AI/ML development activities and clarifies that user-generated content constitutes input data for model improvement. The clause conditions such use on existing contractual rights under the Terms of Use and applicable legal authority, creating a framework for distinguishing permitted from restricted training applications.
Figma
· Figma Privacy Policy
This provision establishes the operational basis for incorporating user-generated content into Figma's AI model development pipeline, with the requirement that such data undergo de-identification and aggregation processes before training use.
PayPal
· PayPal Privacy Statement
The clause establishes the institutional basis for PayPal's use of customer data in algorithmic model development and automated determinations affecting service provision, fraud detection, and risk assessment. This operational authority applies across PayPal's own services and extends to protection of partners and merchants.
Glean
· Glean Privacy Policy
The provision establishes that Glean operates under two distinct data processing frameworks: one for direct customer data where Glean determines use, and one for business customer data where Glean acts as a processor subject to customer-specified instructions and contractual data handling requirements.
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.
The provision establishes the operational scope of data utilization within the service delivery model. It defines what uses of submitted content fall within the authorized scope of the agreement and shapes the data practices governing the service.
The clause establishes a default data use practice where submitted content becomes available for model training purposes, with an opt-out mechanism available through a documented request process rather than opt-in consent.
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.
The clause establishes a data retention and usage framework that ties continued service operation to participation in model training activities, creating an operational dependency between account settings and AI development practices.
OpenAI
· OpenAI Privacy Policy
The provision establishes distinct data usage policies based on account type, creating different baseline training data practices for API and consumer users. This operational distinction means the scope of content used for model development varies depending on the user relationship with OpenAI.
The clause establishes a dual-authorization framework: a default permission structure with an opt-out mechanism, coupled with carve-outs that preserve the company's training use rights for specific material categories regardless of opt-out status. This creates distinct operational categories for data handling based on material type and context.
The provision establishes a default data use practice for model training with a conditional opt-out right, while carving out specific use cases (safety review and user-reported content) that operate independently of the opt-out election. This structure means users must affirmatively manage their data use preferences through account settings to limit training data use.
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.
Writer
· Writer Privacy Policy
This commitment establishes a default operational practice regarding model training data sources. It creates a procedural requirement that Writer must obtain affirmative consent before using submitted content for AI model development, which affects the scope of permitted data uses under the service.